Lab063: localize Lab062 RF quality degradation offline

PROJECT_LOG.md

@@ -2730,3 +2730,53 @@ PASS и0/16 пакетов. T2 gain равен0. Диагностические
 
 Lab062 не коммитировалась, push не выполнялся, Lab063 не создана. Следующий этап: RF TX=0 и
 отдельно согласовать только офлайн-локализацию underrun относительно границ пакетов.
+
+# Запись 058
+
+## Дата
+
+14 сентября 2026 года
+
+## Тема
+
+Lab063: офлайн-локализация TX underrun и глобального ухудшения Lab062
+
+## Выполнено
+
+Lab062 зафиксирована отдельным коммитом
+f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5 с сообщением
+`Lab062: record invalidated 500 ksymbol/s RF packet trial`; push не выполнялся. Статус
+`RF_SESSION_INVALID_TX_UNDERRUN`, результаты legacy/T2 0/16 и запрет повтора сохранены.
+
+По сохранённым TX/RX без аппаратных команд установлено, что 16 waveform по 92 256 отсчётов
+записаны вплотную: 92 256 × 16 = 1 476 096. Дополнительная межпакетная пауза равна нулю.
+`prepare()` не передаёт параметр паузы и не пишет нули между packet waveform, поэтому отсутствие
+обещанных 5 мс признано ошибкой реализации подготовки Lab062. Внутренние защитные участки и
+хвосты RRC каждого пакета сохранены.
+
+Строка `longest 16672 bytes` пересчитана в 8 336 комплексных отсчётов, 1,042 мс, 521 символ и
+9,035727% одного packet waveform. Это масштаб сообщения, а не доказанное число потерянных или
+повторённых RF-отсчётов. Локальное сопоставление 512-символьными окнами с шагом 256 символов
+дало 221 надёжное окно из 359. Задержка в них равна 0…1 отсчёту, скачков нет; место underrun по
+RX не локализовано. В 22 дополнительных внутренних окнах пакетов3,4,12,13 корреляция ниже0,15,
+поэтому задержка там не установлена. Края, повторяющаяся PRBS-преамбула и низкокорреляционные
+окна исключены из delay-verdict, но сохранены в CSV. Корреляционные копии преамбулы имеют период
+2 032 отсчёта.
+
+Все 16 пакетов хуже Lab056 B по SER, EVM и matched/residual. SER составляет
+7,580920…16,013629%, EVM 1,063657…1,663418, matched/residual от −4,420028 до
+−0,536031дБ. Пакеты 3,4,12,13 выделяются всплесками AC-мощности и остатка при стабильной
+медиане локального |h| 0,004488…0,004805. Пакет14 не имеет общего с ними физического признака.
+Результат классифицирован как `GLOBAL_RF_DEGRADATION`; один локальный underrun недостаточен для
+объяснения качества всего сеанса.
+
+AC RMS по пакетам равен0,760816…2,032438 кода, max|I|/|Q| лежат в диапазонах3…6/4…7,
+DC стабилен. Сильная аналоговая перегрузка по цифровым уровням менее вероятна, но без прибора не
+исключена. Локального исходного файла или документации, объясняющей расхождение промежуточного и
+итогового счётчиков `hackrf_transfer`, не найдено; `COUNTER SEMANTICS=NOT_ESTABLISHED`.
+
+Созданы постановка, отчёт, JSON, два CSV, восемь графиков, анализатор и тесты. Lab063 выполнена
+полностью офлайн, RF TX=0, оборудование не опрашивалось. Lab063 не коммитировалась, push не
+выполнялся. Следующий этап: STOP и отдельно согласовать исследование уровня RX, усилений,
+геометрии и возможной аналоговой компрессии или слабого полезного сигнала; Lab064 автоматически
+не создавать.

data/processed/lab063/local_alignment.csv

@@ -0,0 +1,360 @@
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data/processed/lab063/summary.json

@@ -0,0 +1,951 @@
+{
+  "lab": "Lab063",
+  "status": "COMPLETED_OFFLINE",
+  "rf_tx": 0,
+  "hardware_queries": 0,
+  "lab062_status_preserved": "RF_SESSION_INVALID_TX_UNDERRUN",
+  "lab062_commit": "f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5",
+  "physical_device": "Auron HackRF Plus",
+  "api_firmware_identification": "HackRF One r9",
+  "integrity": {
+    "tx_sha256": "e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5",
+    "rx_sha256": "ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32",
+    "tx_samples": 1476096,
+    "rx_samples": 24000000
+  },
+  "actual_inter_packet_gap": {
+    "tx_samples": 1476096,
+    "packets": 16,
+    "packet_waveform_samples": 92256,
+    "packet_product_samples": 1476096,
+    "identity_confirmed": true,
+    "additional_inter_packet_gap_samples": 0,
+    "additional_inter_packet_gap_seconds": 0.0,
+    "actual": "0 additional samples (no planned 5 ms gaps)",
+    "reason": "IMPLEMENTATION_OMISSION: prepare() writes the 16 complete packet waveforms back-to-back and has no gap parameter or zero-fill operation",
+    "packet_internal_note": "Each packet waveform still contains its own guards and RRC tails"
+  },
+  "tx_underrun_scale": {
+    "bytes": 16672,
+    "complex_samples": 8336,
+    "duration_seconds": 0.001042,
+    "duration_milliseconds": 1.042,
+    "symbols": 521.0,
+    "fraction_of_packet": 0.09035726673603885,
+    "percent_of_packet": 9.035726673603884,
+    "interpretation": "Scale only; RX does not prove that this many RF samples were lost or repeated"
+  },
+  "tx_underrun_log": {
+    "binary_path": "C:\\Users\\user\\Tools\\HackRF\\Library\\bin\\hackrf_transfer.exe",
+    "binary_exists": true,
+    "local_source_files": [],
+    "progress_line": "1 underruns, longest 16672 bytes",
+    "final_line": "0 underruns, longest 0 bytes",
+    "counter_semantics": "NOT_ESTABLISHED",
+    "note": "No local source or documentation was found that explains the reset between progress and final counters"
+  },
+  "background": {
+    "before": {
+      "raw_power_code2": 4.867889351370101,
+      "rms_full_iq_code": 2.2063293841514464,
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+      "max_abs_q": 4.0,
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+  "local_alignment": {
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+    "total_windows": 359,
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+    "delay_median_samples": 0.0,
+    "delay_max_samples": 1,
+    "jump_candidates": [],
+    "local_delay_discontinuity": false,
+    "local_delay_discontinuity_scope": "NO_IN_221_RELIABLE_WINDOWS; UNDETERMINED_IN_22_INTERNAL_LOW_CORRELATION_WINDOWS",
+    "underrun_location": "NOT_LOCALIZED_FROM_RX",
+    "reliable_region_inside_packet_samples": [
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+    ],
+    "correlation_threshold": 0.15,
+    "internal_low_correlation_windows": {
+      "count": 22,
+      "packet_counts": {
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+        "4": 7,
+        "12": 7,
+        "13": 3
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+        {
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+        {
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+        {
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+          "normalized_correlation": 0.0828610428066847
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+        {
+          "window_index": 268,
+          "packet_index": 12,
+          "tx_sample": 1097728,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5353821,
+          "position_inside_packet_samples": 82912,
+          "normalized_correlation": 0.08195769883417732
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+        {
+          "window_index": 277,
+          "packet_index": 13,
+          "tx_sample": 1134592,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5390682,
+          "position_inside_packet_samples": 27520,
+          "normalized_correlation": 0.08301430893626999
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+        {
+          "window_index": 278,
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+          "tx_sample": 1138688,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5394779,
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+        {
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+          "position_inside_packet_samples": 35712,
+          "normalized_correlation": 0.09576023729412096
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+      ],
+      "interpretation": "Delay is not established in these windows; low correlation is itself a local anomaly, but it does not identify an underrun without a reliable timing discontinuity"
+    },
+    "excluded_region_reason": "Packet edges and repeated PRBS preamble have correlation aliases spaced by 2032 samples; 22 additional internal windows are below the 0.15 correlation threshold. All are retained in CSV, and delay is not asserted for any excluded window"
+  },
+  "packet_quality": [
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+      "raw_power_code2": 4.900591831425598,
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+      "evm_minus_lab056_b": 0.6971217707879229,
+      "matched_residual_minus_lab056_b_db": -5.229190492637608,
+      "ripple_minus_lab056_b_db": 4.400514166053979
+    },
+    {
+      "packet_index": 14,
+      "raw_power_code2": 4.931039715574054,
+      "rms_full_iq_code": 2.220594450946425,
+      "mean_i": 0.9521657127991675,
+      "mean_q": 1.8542859001040584,
+      "ac_power_code2": 0.5860439716189889,
+      "ac_rms_code": 0.7655350884309542,
+      "max_abs_i": 3.0,
+      "max_abs_q": 4.0,
+      "max_complex_magnitude": 4.4721360206604,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.06076173131231455,
+      "symbol_error_rate": 0.09454855195911414,
+      "symbol_rms_deviation": 1.1250423245117716,
+      "matched_component_power": 0.6318534852320092,
+      "residual_power": 0.7997497398817571,
+      "matched_residual_db": -1.0233772215014318,
+      "band_gain_nonuniformity_db": 6.450865575756282,
+      "initial_frequency_hz": 0.07157023489205856,
+      "diagnostic_residual_phase_error_rad": 0.8500145465030344,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.25880367193626036,
+      "local_correlation_min": 0.24902334455788566,
+      "local_gain_amplitude_median": 0.004498680092492703,
+      "local_phase_unwrapped_span_rad": 0.11686979564231703,
+      "ser_minus_lab056_b": 0.059589591959114147,
+      "evm_minus_lab056_b": 0.2796923245117715,
+      "matched_residual_minus_lab056_b_db": -2.488223221501432,
+      "ripple_minus_lab056_b_db": 0.9794835757562819
+    },
+    {
+      "packet_index": 15,
+      "raw_power_code2": 4.914639698231009,
+      "rms_full_iq_code": 2.2168986666582233,
+      "mean_i": 0.9496509712105445,
+      "mean_q": 1.8523890045091918,
+      "ac_power_code2": 0.5814577070833247,
+      "ac_rms_code": 0.7625337416031664,
+      "max_abs_i": 3.0,
+      "max_abs_q": 4.0,
+      "max_complex_magnitude": 4.4721360206604,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.05617546677665031,
+      "symbol_error_rate": 0.09284497444633731,
+      "symbol_rms_deviation": 1.1566134639773282,
+      "matched_component_power": 0.6485174305492952,
+      "residual_power": 0.8675572440266134,
+      "matched_residual_db": -1.2637648711797032,
+      "band_gain_nonuniformity_db": 7.550266963349408,
+      "initial_frequency_hz": 0.6368695507363243,
+      "diagnostic_residual_phase_error_rad": 5.326810530921518,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.26432524091011667,
+      "local_correlation_min": 0.24252120082883175,
+      "local_gain_amplitude_median": 0.00457300739571061,
+      "local_phase_unwrapped_span_rad": 0.08002037051007749,
+      "ser_minus_lab056_b": 0.057886014446337314,
+      "evm_minus_lab056_b": 0.3112634639773282,
+      "matched_residual_minus_lab056_b_db": -2.7286108711797032,
+      "ripple_minus_lab056_b_db": 2.0788849633494078
+    },
+    {
+      "packet_index": 16,
+      "raw_power_code2": 4.976760319112036,
+      "rms_full_iq_code": 2.2308653744930544,
+      "mean_i": 0.956902532084634,
+      "mean_q": 1.864615851543531,
+      "ac_power_code2": 0.5843055893746447,
+      "ac_rms_code": 0.7643988418192722,
+      "max_abs_i": 3.0,
+      "max_abs_q": 4.0,
+      "max_complex_magnitude": 4.4721360206604,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.059023349067970354,
+      "symbol_error_rate": 0.08603066439522998,
+      "symbol_rms_deviation": 1.063656865382626,
+      "matched_component_power": 0.7029467258520877,
+      "residual_power": 0.7952899743189897,
+      "matched_residual_db": -0.5360309519366353,
+      "band_gain_nonuniformity_db": 6.3916733554839595,
+      "initial_frequency_hz": 1.3365576309608829,
+      "diagnostic_residual_phase_error_rad": 0.7414410771269146,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.26939315416499676,
+      "local_correlation_min": 0.26084853462192703,
+      "local_gain_amplitude_median": 0.004663845798926014,
+      "local_phase_unwrapped_span_rad": 0.13577682602915098,
+      "ser_minus_lab056_b": 0.05107170439522998,
+      "evm_minus_lab056_b": 0.2183068653826259,
+      "matched_residual_minus_lab056_b_db": -2.000876951936635,
+      "ripple_minus_lab056_b_db": 0.9202913554839594
+    }
+  ],
+  "group_trends": [
+    {
+      "packets": "1-4",
+      "useful_power_mean": 1.2272133383749813,
+      "symbol_error_rate_mean": 0.11030664395229983,
+      "symbol_rms_deviation_mean": 1.303626432427683,
+      "matched_component_power_mean": 0.672691886362818,
+      "residual_power_mean": 1.179421002324599,
+      "matched_residual_db_mean": -2.16970094573799,
+      "initial_frequency_hz_mean": 1.067890679251471,
+      "diagnostic_residual_phase_error_rad_mean": 3.153348518335517,
+      "local_phase_unwrapped_span_rad_mean": 0.11741908337326645,
+      "local_gain_amplitude_median": 0.004637231352846487
+    },
+    {
+      "packets": "5-8",
+      "useful_power_mean": 0.05970891892124652,
+      "symbol_error_rate_mean": 0.08304940374787052,
+      "symbol_rms_deviation_mean": 1.1127520393346606,
+      "matched_component_power_mean": 0.6666827933918614,
+      "residual_power_mean": 0.8249609296629852,
+      "matched_residual_db_mean": -0.9264271709367542,
+      "initial_frequency_hz_mean": -1.0855404181950195,
+      "diagnostic_residual_phase_error_rad_mean": 2.0989687712876277,
+      "local_phase_unwrapped_span_rad_mean": 0.1500200844908845,
+      "local_gain_amplitude_median": 0.004607826516255922
+    },
+    {
+      "packets": "9-12",
+      "useful_power_mean": 0.5383091265096853,
+      "symbol_error_rate_mean": 0.09540034071550255,
+      "symbol_rms_deviation_mean": 1.1940436147908833,
+      "matched_component_power_mean": 0.668710170261926,
+      "residual_power_mean": 0.9600473387737937,
+      "matched_residual_db_mean": -1.4744532275666877,
+      "initial_frequency_hz_mean": 0.11884859957967997,
+      "diagnostic_residual_phase_error_rad_mean": 0.9540548268968803,
+      "local_phase_unwrapped_span_rad_mean": 0.12851058969459328,
+      "local_gain_amplitude_median": 0.004658068326884217
+    },
+    {
+      "packets": "13-16",
+      "useful_power_mean": 0.7261523885006069,
+      "symbol_error_rate_mean": 0.10839011925042591,
+      "symbol_rms_deviation_mean": 1.2219461061649122,
+      "matched_component_power_mean": 0.6634972933532564,
+      "residual_power_mean": 1.0145678797926236,
+      "matched_residual_db_mean": -1.6468793843138447,
+      "initial_frequency_hz_mean": -0.4309375874044365,
+      "diagnostic_residual_phase_error_rad_mean": 2.0990337763186155,
+      "local_phase_unwrapped_span_rad_mean": 0.09863290185922985,
+      "local_gain_amplitude_median": 0.0045358437441016565
+    }
+  ],
+  "special_packets_3_4_12_14": {
+    "packets": [
+      3,
+      4,
+      12,
+      14
+    ],
+    "all_have_power_drop_below_median": false,
+    "all_have_correlation_below_median": false,
+    "all_have_large_delay_change": false,
+    "interpretation": "No common underrun signature unless one of all three booleans is true with localized alignment evidence"
+  },
+  "packets_most_affected": [
+    13,
+    4,
+    12,
+    3
+  ],
+  "active_rx_level": {
+    "ac_rms_min": 0.7608161672470135,
+    "ac_rms_max": 2.032437528131502,
+    "max_abs_i_min": 3.0,
+    "max_abs_i_max": 6.0,
+    "max_abs_q_min": 4.0,
+    "max_abs_q_max": 7.0,
+    "mean_i_min": 0.9430389351370101,
+    "mean_i_max": 0.9700940860215054,
+    "mean_q_min": 1.8294528269164065,
+    "mean_q_max": 1.864615851543531,
+    "local_gain_amplitude_median_min": 0.004487614735363821,
+    "local_gain_amplitude_median_max": 0.004805263148615891,
+    "analog_overload": "LESS_LIKELY_FROM_DIGITAL_LEVEL_BUT_NOT_EXCLUDED_WITHOUT_INSTRUMENT"
+  },
+  "lab056_comparison": {
+    "reference": {
+      "symbol_error_rate": 0.03495896,
+      "evm_rms": 0.84535,
+      "matched_residual_db": 1.464846,
+      "band_ripple_db": 5.471382
+    },
+    "packets_worse_on_all_three_core_metrics": [
+      1,
+      2,
+      3,
+      4,
+      5,
+      6,
+      7,
+      8,
+      9,
+      10,
+      11,
+      12,
+      13,
+      14,
+      15,
+      16
+    ]
+  },
+  "quality_distribution": "GLOBAL",
+  "primary_cause_status": "PARTIALLY_LOCALIZED",
+  "packets_worse_than_lab056_on_ser_evm_and_matched_residual": [
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12,
+    13,
+    14,
+    15,
+    16
+  ],
+  "global_degradation_rule": "at least 12/16 packets worse than Lab056 B on SER, EVM and matched/residual",
+  "global_degradation": true,
+  "local_delay_discontinuity": false,
+  "next_single_step": "Before another TX, investigate the low active RX level, gain/geometry and possible analogue compression; also change TX streaming/logging so any underrun is unambiguous. Do not change RF parameters yet.",
+  "lab063_commit": "NOT_PERFORMED",
+  "push": "NOT_PERFORMED",
+  "lab064": "NOT_CREATED"
+}

docs/LABS_INDEX.md

@@ -596,3 +596,31 @@
   [покадровый CSV](../data/processed/lab062/packet_comparison.csv).
 - **Текущее состояние:** `RF TX=0`; повтор не выполнялся, Lab062 не закоммичена, push не
   выполнялся, Lab063 не создана. Следующий шаг требует отдельного согласования.
+
+## Lab063: офлайн-локализация TX underrun и ухудшения Lab062
+
+- **Запись 058; только сохранённые TX/RX, RF TX=0.** Lab062 перед анализом зафиксирована
+  коммитом `f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5`; её статус
+  `RF_SESSION_INVALID_TX_UNDERRUN` сохранён.
+- **Фактические паузы:** 92 256 × 16 = 1 476 096 отсчётов, поэтому дополнительных пауз между
+  полными packet waveform нет. Причина: ошибка реализации `prepare()`, пакеты записаны подряд
+  без параметра паузы и без вставки нулей.
+- **Масштаб журнала:** 16 672 байта cs8 = 8 336 комплексных отсчётов = 1,042 мс = 521 символ =
+  9,035727% одного waveform. RX не подтверждает потерю или повтор именно такого числа отсчётов.
+- **Локальное сопоставление:** 221 надёжное окно из 359, задержка 0…1 отсчёт, скачков нет.
+  Ещё 22 внутренних окна пакетов3,4,12,13 имеют корреляцию ниже0,15; задержка там не
+  установлена. `UNDERRUN LOCATION=NOT_LOCALIZED_FROM_RX`. Повторяющаяся преамбула с
+  корреляционными копиями и низкокорреляционные окна исключены из решения о разрыве.
+- **Качество:** все 16 пакетов хуже Lab056 B по SER, EVM и matched/residual. Пакеты 3,4,12,13
+  имеют дополнительные всплески AC-мощности и остатка при почти постоянном локальном |h|;
+  пакет14 общего признака с ними не показывает. Итог: `GLOBAL_RF_DEGRADATION`, причина
+  `PARTIALLY_LOCALIZED`.
+- **RX-уровень:** AC RMS0,760816…2,032438 кода, max|I|=3…6, max|Q|=4…7. Сильная аналоговая
+  перегрузка менее вероятна, но без прибора не исключена. Значение расхождения счётчиков
+  `hackrf_transfer` локально не установлено: `COUNTER SEMANTICS=NOT_ESTABLISHED`.
+- [Текущее состояние](lab063_current_state.md), [отчёт](lab063_offline_result.md),
+  [JSON](../data/processed/lab063/summary.json),
+  [пакеты CSV](../data/processed/lab063/packet_quality.csv),
+  [локальное сопоставление CSV](../data/processed/lab063/local_alignment.csv).
+- **STOP:** Lab063 не коммитировалась, push не выполнялся, Lab064 не создана. Следующий шаг
+  требует отдельного согласования; RF TX=0.

docs/lab063_current_state.md

@@ -0,0 +1,78 @@
+# Lab063: текущее состояние
+
+## Статус
+
+Lab063 выполнена полностью офлайн по сохранённым файлам единственного RF-сеанса Lab062. Новых передач, запросов к HackRF и аппаратных команд не было.
+
+- `LAB063 STATUS = COMPLETED_OFFLINE`
+- `RF TX = 0`
+- `LAB063 COMMIT = NOT PERFORMED`
+- `PUSH = NOT PERFORMED`
+- `LAB064 = NOT CREATED`
+
+Lab062 перед началом анализа зафиксирована отдельным коммитом:
+
+- `LAB062 COMMIT = f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5`
+- `NEW HEAD = f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5`
+- сообщение: `Lab062: record invalidated 500 ksymbol/s RF packet trial`
+
+Статус аппаратного опыта сохранён без изменения: `RF_SESSION_INVALID_TX_UNDERRUN`. Результат `legacy = 0/16` и `T2 = 0/16` не переобъявлялся как валидное сравнение приёмников.
+
+## Исходные данные
+
+Анализ использует только сохранённые файлы Lab062:
+
+| Объект | Значение |
+|---|---|
+| TX | `data/raw/lab062/tx_stream.cs8` |
+| TX SHA-256 | `e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5` |
+| TX | 1 476 096 комплексных отсчётов |
+| RX | `data/raw/lab062/rx_stream.cs8` |
+| RX SHA-256 | `ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32` |
+| RX | 24 000 000 комплексных отсчётов |
+| Начало TX в RX | отсчёт 4 256 091 |
+| Частота дискретизации | 8 Мвыб/с |
+| Символьная скорость | 500 ксимв/с |
+| Пакетов | 16 |
+| Длина одного полного waveform | 92 256 отсчётов |
+
+Физическое устройство и ответ программного интерфейса записаны отдельно:
+
+- `PHYSICAL DEVICE = Auron HackRF Plus`
+- `API/FIRMWARE IDENTIFICATION = HackRF One r9`
+
+## Зафиксированный результат
+
+Фактический TX-файл содержит пакеты вплотную: `92 256 × 16 = 1 476 096`. Дополнительных пауз между полными waveform нет. Внутренние защитные участки и хвосты RRC каждого пакета сохранены.
+
+`INTER-PACKET GAP ACTUAL = 0 additional samples = 0 s`
+
+Причина установлена по `prepare()` в `experiments/lab062_full_packet_rf_preflight.py`: шестнадцать результатов `build_parameterized_tx_cs8(...)` записываются подряд, параметра паузы и записи нулей между ними нет. Это ошибка реализации подготовленного потока Lab062, а не доказанное ограничение генератора PHY.
+
+Записанный `longest = 16 672 bytes` для cs8 соответствует 8 336 комплексным отсчётам, 1,042 мс, 521 символу и 9,035727 % waveform одного пакета. Это оценка масштаба сообщения журнала. RX-запись не доказывает, что именно столько эфирных отсчётов было потеряно, повторено или заменено.
+
+Локальное сопоставление 512-символьными окнами с шагом 256 символов дало 359 окон. В 221 надёжном внутреннем окне задержка равна 0…1 отсчёту, скачков не найдено. Ещё 22 внутренних окна в пакетах 3, 4, 12 и 13 имеют корреляцию ниже порога 0,15; задержка в них не установлена:
+
+- `UNDERRUN LOCATION = NOT_LOCALIZED_FROM_RX`
+- `LOCAL DELAY DISCONTINUITY = NO IN 221 RELIABLE WINDOWS; UNDETERMINED IN 22 INTERNAL LOW-CORRELATION WINDOWS`
+
+Участки на краях пакетов и повторяющаяся PRBS-преамбула сохранены в CSV, но исключены из решения о разрыве: там возникают корреляционные копии с шагом 2 032 отсчёта. Те же ограничения применены к 22 внутренним окнам с низкой корреляцией. Низкая корреляция сама по себе отмечает локальную аномалию, но без надёжной временной привязки не определяет underrun.
+
+Ухудшение относительно Lab056 B наблюдается у всех 16 пакетов по трём общим показателям: доле ошибочных символов, EVM и отношению согласованной составляющей к остатку. При этом пакеты 3, 4, 12 и 13 дополнительно выделяются всплесками AC-мощности и остатка. Пакет 14 такого общего физического признака не имеет.
+
+- `PACKETS MOST AFFECTED = 13, 4, 12, 3`
+- `LAB062 QUALITY DISTRIBUTION = GLOBAL`
+- `PRIMARY CAUSE STATUS = PARTIALLY_LOCALIZED`
+
+Установлено глобальное ухудшение принятого сигнала и отсутствие наблюдаемого временного скачка в надёжных окнах. Точная физическая причина ухудшения и смысл расхождения промежуточного и итогового счётчиков `hackrf_transfer` не установлены.
+
+## Артефакты
+
+- `experiments/lab063_tx_underrun_localization.py`
+- `tests/test_lab063_tx_underrun_localization.py`
+- `data/processed/lab063/summary.json`
+- `data/processed/lab063/packet_quality.csv`
+- `data/processed/lab063/local_alignment.csv`
+- `docs/lab063_offline_result.md`
+
+Следующий один шаг до нового TX: отдельно согласовать исследование уровня RX, усилений, геометрии и возможной аналоговой компрессии или слишком слабого полезного сигнала. Для будущего повтора также потребуется однозначное журналирование TX underrun и явное добавление запланированных межпакетных пауз. RF-параметры в Lab063 не менялись.

docs/lab063_offline_result.md

@@ -0,0 +1,212 @@
+# Lab063: офлайн-локализация TX underrun и ухудшения пакетов Lab062
+
+## Что установлено
+
+Lab062 остаётся аппаратно невалидным опытом: во время единственной передачи журнал показал `1 underruns, longest 16672 bytes`, хотя итоговая строка показала ноль. Офлайн-анализ не нашёл в RX-записи временного скачка, пропуска или повтора ожидаемого масштаба в 221 надёжном внутреннем окне. Локальная задержка в них составляет 0…1 отсчёт. Ещё в 22 внутренних окнах корреляция ниже 0,15, поэтому задержку там установить нельзя.
+
+Качество сигнала при этом хуже Lab056 B на протяжении всего потока. Все 16 пакетов имеют большую долю ошибочных символов и EVM, а отношение согласованной полезной составляющей к остатку у всех ниже. Пакеты 3, 4, 12 и 13 содержат дополнительные всплески AC-мощности и остатка при почти неизменной TX-согласованной амплитуде. Это указывает на добавочную помеху или искажение, а не на провал полезной несущей в этих пакетах. По сохранённой записи нельзя установить конкретный аппаратный источник.
+
+Цифровые значения далеки от пределов cs8: по пакетам `max |I| = 3…6`, `max |Q| = 4…7`. Сильная аналоговая перегрузка поэтому менее вероятна. Отсутствие rail clipping не является измерением аналоговой линейности, и без отдельного прибора аналоговую компрессию исключить нельзя.
+
+Итоговый выбор: **B. `GLOBAL_RF_DEGRADATION`**. Единичный локальный underrun недостаточен для объяснения всего результата, а его положение по RX не локализовано.
+
+## Целостность и границы анализа
+
+Анализ выполнен без RF и без опроса аппаратуры:
+
+- TX SHA-256: `e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5`;
+- RX SHA-256: `ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32`;
+- TX: 1 476 096 комплексных отсчётов;
+- RX: 24 000 000 комплексных отсчётов;
+- сохранённое начало TX в RX: отсчёт 4 256 091;
+- `RF TX = 0`;
+- аппаратных запросов: 0.
+
+Поиск использует известный TX только после строгого результата `0/16`; это диагностическая привязка, которая не превращает пакет в принятый и не меняет verdict `legacy` или T2.
+
+## Фактические паузы между пакетами
+
+Проверка длины даёт точное равенство:
+
+`92 256 отсчётов × 16 пакетов = 1 476 096 отсчётов`.
+
+Следовательно:
+
+`ACTUAL INTER-PACKET GAP = 0 additional samples = 0 s`.
+
+Запланированных пауз 5 мс в TX-файле нет. Внутренние защитные интервалы и хвосты RRC, входящие в каждый 92 256-отсчётный waveform, присутствуют.
+
+Код `prepare()` в `experiments/lab062_full_packet_rf_preflight.py` записывает шестнадцать результатов `build_parameterized_tx_cs8(...)` непосредственно друг за другом. Между вызовами нет параметра паузы, массива нулей или другой операции, которая добавила бы 5 мс. Причина: **ошибка реализации подготовки Lab062**. Возможность сформировать паузы в других генераторах проекта означает, что это не установленное ограничение PHY-генератора.
+
+## Масштаб сообщения TX underrun
+
+Для cs8 один комплексный отсчёт занимает два байта:
+
+| Величина | Значение |
+|---|---:|
+| Журнал, bytes | 16 672 |
+| Комплексные отсчёты | 8 336 |
+| Длительность при 8 Мвыб/с | 1,042 мс |
+| Символы при 500 ксимв/с | 521 |
+| Доля waveform одного пакета | 9,035727 % |
+
+Это только пересчёт масштаба строки журнала. Он не доказывает фактическую потерю, повтор или замену 8 336 отсчётов в эфире.
+
+## Локальное сопоставление TX и RX
+
+TX разбит на окна по 512 символов, то есть по 8 192 отсчёта. Шаг равен 256 символам, или 4 096 отсчётам. Для каждого окна независимо искалось положение в RX в пределах ±12 000 отсчётов, затем вычислялись нормированная корреляция, комплексный коэффициент `h`, его амплитуда и фаза, а также остаточная мощность.
+
+Повторяющаяся PRBS-преамбула создаёт ложные корреляционные максимумы с периодом 2 032 отсчёта. Поэтому решение о временном скачке использует внутреннюю часть каждого пакета от отсчёта 24 000 до 86 000 и требует корреляцию не ниже 0,15. Края, преамбула и внутренние окна ниже порога остаются в `local_alignment.csv` для проверки, но их выбранная задержка не участвует в verdict.
+
+| Показатель | Значение |
+|---|---:|
+| Всего окон | 359 |
+| Надёжных окон | 221 |
+| Внутренних окон с корреляцией ниже 0,15 | 22 |
+| Корреляция, минимум по всем окнам | 0,071665 |
+| Корреляция, медиана по всем окнам | 0,265526 |
+| Корреляция, максимум по всем окнам | 0,287394 |
+| Локальная задержка в надёжных окнах | 0…1 отсчёт |
+| Кандидаты на скачок | 0 |
+
+- `UNDERRUN LOCATION = NOT_LOCALIZED_FROM_RX`
+- `LOCAL DELAY DISCONTINUITY = NO IN 221 RELIABLE WINDOWS; UNDETERMINED IN 22 INTERNAL LOW-CORRELATION WINDOWS`
+
+Внутренние окна с низкой корреляцией распределены так:
+
+- пакет 3: 5 окон, позиции 69 440…85 824 отсчёта внутри пакета;
+- пакет 4: 7 окон, позиции 26 336…46 816 и 55 008 отсчётов;
+- пакет 12: 7 окон, позиции 58 336…82 912 отсчётов;
+- пакет 13: 3 окна, позиции 27 520…35 712 отсчёта.
+
+Низкая корреляция совпадает с пакетами, где выросли AC-мощность и остаток. Она подтверждает локальные участки сильного искажения. Без надёжной оценки задержки эти участки не доказывают пропуск или повтор отсчётов и не локализуют TX underrun.
+
+Поиск не подгонялся под ожидаемые 8 336 отсчётов. Он способен обнаружить синтетически вставленный скачок и проверяет переходы между пакетами; оба свойства закрыты отдельными тестами.
+
+## Качество пакетов 1–16
+
+`raw` означает полную принятую мощность вместе с DC. `useful` в таблице означает AC-мощность пакета после вычитания средней фоновой AC-мощности до и после потока. Это избыточная над фоном мощность, а не доказанная мощность только полезного TX-сигнала. `M/R` означает отношение TX-согласованной составляющей к остатку. Остаток включает шум, помехи, искажения канала и возможное влияние underrun.
+
+| № | raw, код² | useful, код² | SER, % | EVM RMS | matched / residual, код² | M/R, дБ | ripple, дБ | CFO, Гц | phase, рад |
+|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+| 1 | 4,900592 | 0,062620 | 8,517888 | 1,088322 | 0,707513 / 0,838011 | -0,735151 | 6,642520 | +1,007302 | 5,396055 |
+| 2 | 4,865147 | 0,056422 | 9,795571 | 1,104921 | 0,670874 / 0,819037 | -0,866627 | 6,598551 | +1,641699 | 0,911620 |
+| 3 | 6,015186 | 1,184291 | 10,221465 | 1,357844 | 0,618128 / 1,139667 | -2,656997 | 7,370969 | -0,961988 | 0,917422 |
+| 4 | 8,462127 | 3,605520 | 15,587734 | 1,663418 | 0,694253 / 1,920969 | -4,420028 | 10,617549 | +2,584550 | 5,388297 |
+| 5 | 4,954615 | 0,062684 | 8,986371 | 1,099196 | 0,702182 / 0,848399 | -0,821507 | 6,409726 | -1,235846 | 0,834217 |
+| 6 | 4,919648 | 0,053559 | 7,580920 | 1,102402 | 0,644466 / 0,783214 | -0,846803 | 6,364293 | -1,779543 | 5,318132 |
+| 7 | 4,958322 | 0,059386 | 8,390119 | 1,100152 | 0,681935 / 0,825370 | -0,829054 | 6,236828 | -0,248409 | 1,461754 |
+| 8 | 4,913306 | 0,063207 | 8,262351 | 1,149257 | 0,638148 / 0,842861 | -1,208345 | 6,714921 | -1,078363 | 0,781772 |
+| 9 | 4,886956 | 0,065556 | 8,943782 | 1,141831 | 0,658122 / 0,858045 | -1,152037 | 6,809132 | +0,832282 | 1,073865 |
+| 10 | 4,915355 | 0,067571 | 8,347530 | 1,092396 | 0,697137 / 0,831913 | -0,767600 | 6,678161 | -1,337873 | 0,770315 |
+| 11 | 4,919918 | 0,072081 | 8,049404 | 1,085344 | 0,688251 / 0,810740 | -0,711347 | 6,630624 | +1,139696 | 0,886944 |
+| 12 | 6,800707 | 1,948029 | 12,819421 | 1,456604 | 0,631331 / 1,339491 | -3,266829 | 7,945032 | -0,158710 | 1,085095 |
+| 13 | 7,571594 | 2,728649 | 16,013629 | 1,542472 | 0,670672 / 1,595675 | -3,764344 | 9,871896 | -3,768748 | 1,477869 |
+| 14 | 4,931040 | 0,060762 | 9,454855 | 1,125042 | 0,631853 / 0,799750 | -1,023377 | 6,450866 | +0,071570 | 0,850015 |
+| 15 | 4,914640 | 0,056175 | 9,284497 | 1,156613 | 0,648517 / 0,867557 | -1,263765 | 7,550267 | +0,636870 | 5,326811 |
+| 16 | 4,976760 | 0,059023 | 8,603066 | 1,063657 | 0,702947 / 0,795290 | -0,536031 | 6,391673 | +1,336558 | 0,741441 |
+
+Полные значения, включая локальную задержку, корреляцию, `|h|`, DC и разности относительно Lab056 B, находятся в `data/processed/lab063/packet_quality.csv`.
+
+## Уровень RX и DC во время передачи
+
+Средняя фоновая AC-мощность соседних окон равна 0,525282 код², что соответствует AC RMS 0,724764 кода. На RX-only preflight было 0,985483 кода AC RMS.
+
+| № | RMS full | AC RMS | mean I | mean Q | max \|I\| | max \|Q\| | max \|IQ\| |
+|---:|---:|---:|---:|---:|---:|---:|---:|
+| 1 | 2,213728 | 0,766748 | 0,969270 | 1,836629 | 3 | 4 | 4,472136 |
+| 2 | 2,205708 | 0,762695 | 0,967753 | 1,829453 | 3 | 4 | 4,472136 |
+| 3 | 2,452588 | 1,307507 | 0,970094 | 1,834266 | 6 | 7 | 7,211102 |
+| 4 | 2,908974 | 2,032438 | 0,960349 | 1,846362 | 6 | 7 | 7,615773 |
+| 5 | 2,225897 | 0,766789 | 0,964512 | 1,853744 | 3 | 4 | 4,242640 |
+| 6 | 2,218028 | 0,760816 | 0,968934 | 1,844444 | 3 | 4 | 4,472136 |
+| 7 | 2,226729 | 0,764636 | 0,963515 | 1,856150 | 3 | 4 | 4,472136 |
+| 8 | 2,216598 | 0,767131 | 0,958919 | 1,845343 | 3 | 4 | 4,472136 |
+| 9 | 2,210646 | 0,768660 | 0,954128 | 1,840043 | 3 | 4 | 4,472136 |
+| 10 | 2,217060 | 0,769969 | 0,947830 | 1,850438 | 3 | 4 | 4,242640 |
+| 11 | 2,218089 | 0,772893 | 0,943039 | 1,852898 | 3 | 4 | 4,472136 |
+| 12 | 2,607816 | 1,572676 | 0,954995 | 1,848075 | 6 | 7 | 8,062258 |
+| 13 | 2,751653 | 1,803866 | 0,952307 | 1,846828 | 6 | 7 | 7,810249 |
+| 14 | 2,220594 | 0,765535 | 0,952166 | 1,854286 | 3 | 4 | 4,472136 |
+| 15 | 2,216899 | 0,762534 | 0,949651 | 1,852389 | 3 | 4 | 4,472136 |
+| 16 | 2,230865 | 0,764399 | 0,956903 | 1,864616 | 3 | 4 | 4,472136 |
+
+DC стабилен: `mean I = 0,943039…0,970094`, `mean Q = 1,829453…1,864616`. Ступени AC-амплитуды есть в пакетах 3, 4, 12 и 13. При этом медиана локального `|h|` по пакетам меняется только от 0,004488 до 0,004805. Рост полной AC-мощности в этих пакетах создаёт главным образом остаток, а не согласованный полезный компонент.
+
+## Пакеты 3, 4, 12 и 14
+
+У четырёх ранее отмеченных пакетов нет общего признака underrun:
+
+- у всех четырёх нет скачка задержки;
+- у них нет общего провала мощности;
+- у них нет общей потери локальной корреляции;
+- пакет 14 близок к обычным пакетам по AC RMS, SER, EVM и неравномерности полосы;
+- пакеты 3, 4 и 12 имеют всплески AC-мощности и остатка; аналогичный, ещё более выраженный всплеск есть у пакета 13.
+
+Поэтому связывать набор `3, 4, 12, 14` с одним TX underrun оснований нет. По сводному ранжированию наиболее повреждены пакеты `13, 4, 12, 3`.
+
+## Тренд по четвертям потока
+
+| Пакеты | useful, среднее код² | SER, % | EVM RMS | matched, код² | residual, код² | M/R, дБ | CFO, Гц | phase error, рад | local phase span, рад | медиана \|h\| |
+|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+| 1–4 | 1,227213 | 11,030664 | 1,303626 | 0,672692 | 1,179421 | -2,169701 | +1,067891 | 3,153349 | 0,117419 | 0,004637 |
+| 5–8 | 0,059709 | 8,304940 | 1,112752 | 0,666683 | 0,824961 | -0,926427 | -1,085540 | 2,098969 | 0,150020 | 0,004608 |
+| 9–12 | 0,538309 | 9,540034 | 1,194044 | 0,668710 | 0,960047 | -1,474453 | +0,118849 | 0,954055 | 0,128511 | 0,004658 |
+| 13–16 | 0,726152 | 10,839012 | 1,221946 | 0,663497 | 1,014568 | -1,646879 | -0,430938 | 2,099034 | 0,098633 | 0,004536 |
+
+Согласованная составляющая и локальный коэффициент передачи стабильны по четвертям. Средний локальный фазовый размах лежит в пределах 0,098633…0,150020 рад; последовательного роста к концу потока нет. Остаток и SER меняются вместе со всплесками избыточной мощности. Базовое качество всех четвертей хуже Lab056 B.
+
+## Сравнение с Lab056 B
+
+| Метрика | Lab056 B | Lab062, диапазон пакетов | Результат |
+|---|---:|---:|---|
+| SER | 3,495896 % | 7,580920…16,013629 % | все 16 хуже |
+| EVM RMS | 0,845350 | 1,063657…1,663418 | все 16 хуже |
+| Matched/residual | +1,464846 дБ | -4,420028…-0,536031 дБ | все 16 хуже |
+| Неравномерность полосы | 5,471382 дБ | 6,236828…10,617549 дБ | все 16 хуже |
+
+Ухудшение не ограничено одним пакетом или коротким участком. Локальный TX-согласованный gain не показывает потери длиной около 8 336 отсчётов. Поэтому наблюдавшийся TX underrun остаётся достаточной причиной признать Lab062 невалидной, но не является достаточным объяснением глобально худшего качества.
+
+## Смысл счётчиков `hackrf_transfer`
+
+Сохранены обе строки:
+
+- промежуточная: `1 underruns, longest 16672 bytes`;
+- итоговая: `0 underruns, longest 0 bytes`.
+
+В локальной установке исходный файл `hackrf_transfer.c` и документация с описанием сброса этих счётчиков не найдены. В бинарном файле обнаружены только строки формата статистики. Поэтому:
+
+`COUNTER SEMANTICS = NOT_ESTABLISHED`.
+
+Нулевая итоговая строка не отменяет ненулевое промежуточное наблюдение. Причину расхождения без исходного кода используемой версии придумывать нельзя.
+
+## Графики и машинные результаты
+
+- [Локальная задержка](../data/processed/lab063/local_delay_vs_time.png)
+- [Нормированная корреляция](../data/processed/lab063/normalized_correlation_vs_time.png)
+- [Амплитуда коэффициента передачи](../data/processed/lab063/gain_vs_time.png)
+- [Фаза коэффициента передачи](../data/processed/lab063/phase_vs_time.png)
+- [Принятая мощность по пакетам](../data/processed/lab063/received_power_by_packet.png)
+- [SER по пакетам](../data/processed/lab063/symbol_error_rate_by_packet.png)
+- [Matched/residual по пакетам](../data/processed/lab063/matched_residual_by_packet.png)
+- [Сравнение Lab056 B и Lab062](../data/processed/lab063/lab056_b_vs_lab062_packets.png)
+- [Сводка JSON](../data/processed/lab063/summary.json)
+- [Качество пакетов CSV](../data/processed/lab063/packet_quality.csv)
+- [Локальное сопоставление CSV](../data/processed/lab063/local_alignment.csv)
+
+## Инженерный вывод
+
+`LAB062 QUALITY DISTRIBUTION = GLOBAL`.
+
+`PRIMARY CAUSE STATUS = PARTIALLY_LOCALIZED`.
+
+Найдена ошибка подготовки TX: обещанные межпакетные паузы не были записаны. Подтверждено глобальное ухудшение относительно Lab056 B и отдельные всплески помехи или искажения. Положение underrun и точная физическая причина общего ухудшения не установлены.
+
+`NEXT SINGLE STEP = до нового TX отдельно исследовать уровень RX, усиления, геометрию и возможную аналоговую компрессию либо слишком слабый полезный сигнал; будущий TX-процесс должен иметь явные паузы и однозначное журналирование underrun`.
+
+Новый RF-сеанс требует отдельного разрешения. В рамках Lab063 параметры PHY, приёмник, усиления и частота не менялись.
+
+- `RF TX = 0`
+- `LAB063 COMMIT = NOT PERFORMED`
+- `PUSH = NOT PERFORMED`
+- `LAB064 = NOT CREATED`

experiments/lab063_tx_underrun_localization.py

@@ -0,0 +1,567 @@
+"""Lab063: офлайн-локализация TX underrun и ухудшения качества Lab062."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+import csv
+import json
+import math
+from pathlib import Path
+import re
+import sys
+
+if __package__ in (None, ""):
+    sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy import signal
+
+from experiments import lab058_abab_symbol_quality as lab058
+from experiments import lab062_full_packet_rf_preflight as lab062
+
+
+ROOT = Path(__file__).resolve().parents[1]
+RAW = ROOT / "data/raw/lab062"
+LAB062 = ROOT / "data/processed/lab062"
+OUTPUT = ROOT / "data/processed/lab063"
+TX_PATH = RAW / "tx_stream.cs8"
+RX_PATH = RAW / "rx_stream.cs8"
+FRAME_SAMPLES = 92_256
+PACKETS = 16
+SAMPLE_RATE = 8_000_000
+SYMBOL_RATE = 500_000
+WINDOW_SYMBOLS = 512
+WINDOW_SAMPLES = WINDOW_SYMBOLS * (SAMPLE_RATE // SYMBOL_RATE)
+STEP_SYMBOLS = 256
+STEP_SAMPLES = STEP_SYMBOLS * (SAMPLE_RATE // SYMBOL_RATE)
+SEARCH_MARGIN_SAMPLES = 12_000
+MIN_LOCAL_CORRELATION = 0.15
+RELIABLE_PACKET_START = 24_000
+RELIABLE_PACKET_END = 86_000
+LAB056_B = {
+    "symbol_error_rate": 0.03495896,
+    "evm_rms": 0.845350,
+    "matched_residual_db": 1.464846,
+    "band_ripple_db": 5.471382,
+}
+
+
+@dataclass(frozen=True)
+class ArrayReader:
+    """Минимальный интерфейс чтения для автономных проверок алгоритма."""
+
+    values: np.ndarray
+
+    @property
+    def size(self) -> int:
+        return int(len(self.values))
+
+    def read(self, start: int, count: int) -> np.ndarray:
+        return np.asarray(self.values[start:start + count], dtype=np.complex64)
+
+
+def underrun_scale(byte_count: int = 16_672) -> dict:
+    if type(byte_count) is not int or byte_count <= 0 or byte_count % 2:
+        raise ValueError("Размер cs8 underrun должен быть положительным чётным числом байт")
+    samples = byte_count // 2
+    duration = samples / SAMPLE_RATE
+    symbols = samples * SYMBOL_RATE / SAMPLE_RATE
+    return {
+        "bytes": byte_count,
+        "complex_samples": samples,
+        "duration_seconds": duration,
+        "duration_milliseconds": duration * 1000,
+        "symbols": symbols,
+        "fraction_of_packet": samples / FRAME_SAMPLES,
+        "percent_of_packet": 100 * samples / FRAME_SAMPLES,
+        "interpretation": "Scale only; RX does not prove that this many RF samples were lost or repeated",
+    }
+
+
+def actual_gap() -> dict:
+    metadata = json.loads((RAW / "tx_metadata.json").read_text(encoding="utf-8"))
+    total = int(metadata["tx_samples"])
+    expected = FRAME_SAMPLES * PACKETS
+    return {
+        "tx_samples": total,
+        "packets": PACKETS,
+        "packet_waveform_samples": FRAME_SAMPLES,
+        "packet_product_samples": expected,
+        "identity_confirmed": total == expected,
+        "additional_inter_packet_gap_samples": total - expected,
+        "additional_inter_packet_gap_seconds": (total - expected) / SAMPLE_RATE,
+        "actual": "0 additional samples (no planned 5 ms gaps)",
+        "reason": (
+            "IMPLEMENTATION_OMISSION: prepare() writes the 16 complete packet waveforms "
+            "back-to-back and has no gap parameter or zero-fill operation"
+        ),
+        "packet_internal_note": "Each packet waveform still contains its own guards and RRC tails",
+    }
+
+
+def normalized_match(transmitted: np.ndarray, search: np.ndarray) -> dict:
+    """Найти локальный участок RX с нормировкой по AC-энергии каждого положения."""
+    transmitted = np.asarray(transmitted, dtype=np.complex128)
+    search = np.asarray(search, dtype=np.complex128)
+    if transmitted.ndim != 1 or search.ndim != 1 or len(search) < len(transmitted):
+        raise ValueError("Нужны одномерные TX и более длинное RX-окно")
+    centered_tx = transmitted - np.mean(transmitted)
+    tx_energy = float(np.vdot(centered_tx, centered_tx).real)
+    if tx_energy <= 0:
+        raise ValueError("TX-окно не содержит AC-энергии")
+    correlation = signal.correlate(search, centered_tx, mode="valid", method="fft")
+    count = len(centered_tx)
+    kernel = np.ones(count, dtype=np.float64)
+    sums = signal.fftconvolve(search, kernel, mode="valid")
+    powers = signal.fftconvolve(abs(search) ** 2, kernel, mode="valid")
+    rx_energies = np.maximum(powers - abs(sums) ** 2 / count, 0.0)
+    normalized = abs(correlation) / np.sqrt(np.maximum(tx_energy * rx_energies, 1e-30))
+    best = int(np.argmax(normalized))
+    centered_rx = search[best:best + count] - np.mean(search[best:best + count])
+    gain = complex(np.vdot(centered_tx, centered_rx) / tx_energy)
+    residual = centered_rx - gain * centered_tx
+    return {
+        "offset": best,
+        "normalized_correlation": float(normalized[best]),
+        "gain": gain,
+        "gain_amplitude": float(abs(gain)),
+        "phase_rad": float(np.angle(gain)),
+        "residual_power": float(np.mean(abs(residual) ** 2)),
+        "rx_ac_power": float(np.mean(abs(centered_rx) ** 2)),
+    }
+
+
+def track_alignment(tx, rx, rx_start: int, *, frame_samples: int = FRAME_SAMPLES,
+                    window_samples: int = WINDOW_SAMPLES,
+                    step_samples: int = STEP_SAMPLES,
+                    search_margin: int = SEARCH_MARGIN_SAMPLES,
+                    reliable_packet_start: int = RELIABLE_PACKET_START,
+                    reliable_packet_end: int = RELIABLE_PACKET_END) -> list[dict]:
+    """Сопоставить короткие перекрывающиеся TX-окна с RX независимо по времени."""
+    rows = []
+    for tx_start in range(0, tx.size - window_samples + 1, step_samples):
+        expected_rx = rx_start + tx_start
+        low = max(0, expected_rx - search_margin)
+        high = min(rx.size, expected_rx + search_margin + window_samples)
+        match = normalized_match(tx.read(tx_start, window_samples), rx.read(low, high - low))
+        matched_rx = low + match.pop("offset")
+        packet = min(PACKETS, tx_start // frame_samples + 1)
+        position_inside_packet = tx_start - (packet - 1) * frame_samples
+        inside_reliable_region = reliable_packet_start <= position_inside_packet <= reliable_packet_end
+        correlation_above_threshold = match["normalized_correlation"] >= MIN_LOCAL_CORRELATION
+        rows.append({
+            "window_index": len(rows),
+            "tx_sample": tx_start,
+            "rx_sample": matched_rx,
+            "time_seconds": tx_start / SAMPLE_RATE,
+            "local_delay_samples": matched_rx - expected_rx,
+            "packet_index": packet,
+            "position_inside_packet_samples": position_inside_packet,
+            "inside_reliable_region": inside_reliable_region,
+            "correlation_above_threshold": correlation_above_threshold,
+            "reliable_for_delay": inside_reliable_region and correlation_above_threshold,
+            **match,
+        })
+    return rows
+
+
+def alignment_verdict(rows: list[dict], expected_jump: int) -> dict:
+    valid = [row for row in rows if row.get("reliable_for_delay") is True]
+    internal_low_correlation = [
+        row for row in rows
+        if row.get("inside_reliable_region") is True
+        and row.get("correlation_above_threshold") is False
+    ]
+    jumps = []
+    for left, right in zip(valid, valid[1:]):
+        change = right["local_delay_samples"] - left["local_delay_samples"]
+        if abs(change) >= max(256, expected_jump // 4):
+            jumps.append({
+                "left_window": left["window_index"], "right_window": right["window_index"],
+                "tx_sample": right["tx_sample"], "rx_sample": right["rx_sample"],
+                "packet_index": right["packet_index"],
+                "position_inside_packet_samples": right["position_inside_packet_samples"],
+                "delay_change_samples": change,
+                "left_correlation": left["normalized_correlation"],
+                "right_correlation": right["normalized_correlation"],
+            })
+    delays = np.asarray([row["local_delay_samples"] for row in valid], dtype=np.float64)
+    correlations = np.asarray([row["normalized_correlation"] for row in rows], dtype=np.float64)
+    return {
+        "valid_windows": len(valid),
+        "total_windows": len(rows),
+        "minimum_correlation": float(np.min(correlations)),
+        "median_correlation": float(np.median(correlations)),
+        "maximum_correlation": float(np.max(correlations)),
+        "delay_min_samples": int(np.min(delays)) if len(delays) else None,
+        "delay_median_samples": float(np.median(delays)) if len(delays) else None,
+        "delay_max_samples": int(np.max(delays)) if len(delays) else None,
+        "jump_candidates": jumps,
+        "local_delay_discontinuity": bool(jumps),
+        "local_delay_discontinuity_scope": (
+            f"NO_IN_{len(valid)}_RELIABLE_WINDOWS; "
+            f"UNDETERMINED_IN_{len(internal_low_correlation)}_INTERNAL_LOW_CORRELATION_WINDOWS"
+            if not jumps else "DETECTED_IN_RELIABLE_WINDOWS"
+        ),
+        "underrun_location": "NOT_LOCALIZED_FROM_RX" if not jumps else jumps[0],
+        "reliable_region_inside_packet_samples": [RELIABLE_PACKET_START, RELIABLE_PACKET_END],
+        "correlation_threshold": MIN_LOCAL_CORRELATION,
+        "internal_low_correlation_windows": {
+            "count": len(internal_low_correlation),
+            "packet_counts": {
+                str(packet): sum(row["packet_index"] == packet for row in internal_low_correlation)
+                for packet in sorted({row["packet_index"] for row in internal_low_correlation})
+            },
+            "windows": [
+                {
+                    "window_index": row["window_index"],
+                    "packet_index": row["packet_index"],
+                    "tx_sample": row["tx_sample"],
+                    "rx_sample_selected_but_not_used_for_delay_verdict": row["rx_sample"],
+                    "position_inside_packet_samples": row["position_inside_packet_samples"],
+                    "normalized_correlation": row["normalized_correlation"],
+                }
+                for row in internal_low_correlation
+            ],
+            "interpretation": (
+                "Delay is not established in these windows; low correlation is itself a local anomaly, "
+                "but it does not identify an underrun without a reliable timing discontinuity"
+            ),
+        },
+        "excluded_region_reason": (
+            "Packet edges and repeated PRBS preamble have correlation aliases spaced by 2032 samples; "
+            "22 additional internal windows are below the 0.15 correlation threshold. All are retained "
+            "in CSV, and delay is not asserted for any excluded window"
+        ),
+    }
+
+
+def moments(values: np.ndarray) -> dict:
+    values = np.asarray(values)
+    mean = complex(np.mean(values, dtype=np.complex128))
+    power = float(np.mean(abs(values.astype(np.complex128)) ** 2))
+    ac_power = max(0.0, power - abs(mean) ** 2)
+    return {
+        "raw_power_code2": power,
+        "rms_full_iq_code": math.sqrt(power),
+        "mean_i": float(mean.real), "mean_q": float(mean.imag),
+        "ac_power_code2": ac_power, "ac_rms_code": math.sqrt(ac_power),
+        "max_abs_i": float(np.max(abs(values.real))),
+        "max_abs_q": float(np.max(abs(values.imag))),
+        "max_complex_magnitude": float(np.max(abs(values))),
+    }
+
+
+def packet_quality(tx, rx, rx_start: int, background_ac_power: float,
+                   lab062_analysis: dict, alignment: list[dict]) -> list[dict]:
+    rows = []
+    physical = lab062_analysis["lab058_quality"]["packets"]
+    for index in range(1, PACKETS + 1):
+        values = rx.read(rx_start + (index - 1) * FRAME_SAMPLES, FRAME_SAMPLES)
+        level = moments(values)
+        metrics = physical[index - 1]["oracle"]["metrics"]
+        channel = physical[index - 1]["channel"]
+        local = [row for row in alignment if row["packet_index"] == index and row["reliable_for_delay"]]
+        phases = np.unwrap([row["phase_rad"] for row in local]) if local else np.empty(0)
+        row = {
+            "packet_index": index,
+            **level,
+            "background_ac_power_code2": background_ac_power,
+            "background_subtracted_useful_power_code2": max(0.0, level["ac_power_code2"] - background_ac_power),
+            "symbol_error_rate": metrics["ber"],
+            "symbol_rms_deviation": metrics["evm_rms"],
+            "matched_component_power": metrics["matched_component_power"],
+            "residual_power": metrics["residual_power"],
+            "matched_residual_db": metrics["matched_residual_db"],
+            "band_gain_nonuniformity_db": channel["amplitude_ripple_p95_p05_db"],
+            "initial_frequency_hz": physical[index - 1]["oracle"]["cfo_hz"],
+            "diagnostic_residual_phase_error_rad": channel["residual_phase_ripple_p95_p05_rad"],
+            "local_delay_median_samples": float(np.median([item["local_delay_samples"] for item in local])),
+            "local_delay_min_samples": int(min(item["local_delay_samples"] for item in local)),
+            "local_delay_max_samples": int(max(item["local_delay_samples"] for item in local)),
+            "local_correlation_median": float(np.median([item["normalized_correlation"] for item in local])),
+            "local_correlation_min": float(min(item["normalized_correlation"] for item in local)),
+            "local_gain_amplitude_median": float(np.median([item["gain_amplitude"] for item in local])),
+            "local_phase_unwrapped_span_rad": float(np.ptp(phases)) if len(phases) else None,
+            "ser_minus_lab056_b": metrics["ber"] - LAB056_B["symbol_error_rate"],
+            "evm_minus_lab056_b": metrics["evm_rms"] - LAB056_B["evm_rms"],
+            "matched_residual_minus_lab056_b_db": metrics["matched_residual_db"] - LAB056_B["matched_residual_db"],
+            "ripple_minus_lab056_b_db": channel["amplitude_ripple_p95_p05_db"] - LAB056_B["band_ripple_db"],
+        }
+        rows.append(row)
+    return rows
+
+
+def group_trends(rows: list[dict]) -> list[dict]:
+    result = []
+    for low in (1, 5, 9, 13):
+        selected = rows[low - 1:low + 3]
+        result.append({
+            "packets": f"{low}-{low + 3}",
+            "useful_power_mean": float(np.mean([row["background_subtracted_useful_power_code2"] for row in selected])),
+            "symbol_error_rate_mean": float(np.mean([row["symbol_error_rate"] for row in selected])),
+            "symbol_rms_deviation_mean": float(np.mean([row["symbol_rms_deviation"] for row in selected])),
+            "matched_component_power_mean": float(np.mean([row["matched_component_power"] for row in selected])),
+            "residual_power_mean": float(np.mean([row["residual_power"] for row in selected])),
+            "matched_residual_db_mean": float(np.mean([row["matched_residual_db"] for row in selected])),
+            "initial_frequency_hz_mean": float(np.mean([row["initial_frequency_hz"] for row in selected])),
+            "diagnostic_residual_phase_error_rad_mean": float(np.mean(
+                [row["diagnostic_residual_phase_error_rad"] for row in selected]
+            )),
+            "local_phase_unwrapped_span_rad_mean": float(np.mean(
+                [row["local_phase_unwrapped_span_rad"] for row in selected]
+            )),
+            "local_gain_amplitude_median": float(np.median([row["local_gain_amplitude_median"] for row in selected])),
+        })
+    return result
+
+
+def classify(packet_rows: list[dict], alignment: dict) -> dict:
+    worse = [
+        row for row in packet_rows
+        if row["symbol_error_rate"] > LAB056_B["symbol_error_rate"]
+        and row["symbol_rms_deviation"] > LAB056_B["evm_rms"]
+        and row["matched_residual_db"] < LAB056_B["matched_residual_db"]
+    ]
+    global_degradation = len(worse) >= 12
+    discontinuity = alignment["local_delay_discontinuity"]
+    if discontinuity and global_degradation:
+        distribution, primary = "MIXED", "PARTIALLY_LOCALIZED"
+    elif discontinuity:
+        distribution, primary = "LOCALIZED", "PARTIALLY_LOCALIZED"
+    elif global_degradation:
+        distribution, primary = "GLOBAL", "PARTIALLY_LOCALIZED"
+    else:
+        distribution, primary = "NOT_LOCALIZED", "NOT_LOCALIZED"
+    return {
+        "quality_distribution": distribution,
+        "primary_cause_status": primary,
+        "packets_worse_than_lab056_on_ser_evm_and_matched_residual": [row["packet_index"] for row in worse],
+        "global_degradation_rule": "at least 12/16 packets worse than Lab056 B on SER, EVM and matched/residual",
+        "global_degradation": global_degradation,
+        "local_delay_discontinuity": discontinuity,
+    }
+
+
+def write_csv(path: Path, rows: list[dict]) -> None:
+    with path.open("w", newline="", encoding="utf-8-sig") as stream:
+        writer = csv.DictWriter(stream, fieldnames=list(rows[0]))
+        writer.writeheader()
+        for row in rows:
+            writer.writerow({key: (json.dumps(value) if isinstance(value, (dict, list)) else value)
+                             for key, value in row.items()})
+
+
+def plots(alignment: list[dict], packets: list[dict]) -> None:
+    OUTPUT.mkdir(parents=True, exist_ok=True)
+    time_ms = np.asarray([row["time_seconds"] * 1000 for row in alignment])
+    packet_indexes = np.arange(1, PACKETS + 1)
+
+    def line(name: str, values, ylabel: str, title: str) -> None:
+        figure, axis = plt.subplots(figsize=(9, 4.5))
+        axis.plot(time_ms, values, linewidth=1.2)
+        axis.set(xlabel="Время TX, мс", ylabel=ylabel, title=title)
+        axis.grid(True, alpha=0.3); figure.tight_layout()
+        figure.savefig(OUTPUT / name, dpi=160); plt.close(figure)
+
+    figure, axis = plt.subplots(figsize=(9, 4.5))
+    unreliable = [row for row in alignment if not row["reliable_for_delay"]]
+    reliable = [row for row in alignment if row["reliable_for_delay"]]
+    axis.scatter([row["time_seconds"] * 1000 for row in unreliable],
+                 [row["local_delay_samples"] for row in unreliable], s=7, alpha=0.25,
+                 label="исключено: края, преамбула или низкая корреляция")
+    axis.plot([row["time_seconds"] * 1000 for row in reliable],
+              [row["local_delay_samples"] for row in reliable], linewidth=1.2,
+              label="надёжная внутренняя часть")
+    axis.set(xlabel="Время TX, мс", ylabel="Локальная задержка, отсчёты",
+             title="Локальная временная привязка TX и RX")
+    axis.grid(True, alpha=0.3); axis.legend(); figure.tight_layout()
+    figure.savefig(OUTPUT / "local_delay_vs_time.png", dpi=160); plt.close(figure)
+    line("normalized_correlation_vs_time.png", [row["normalized_correlation"] for row in alignment],
+         "Нормированная корреляция", "Устойчивость локального сопоставления")
+    reliable_time_ms = np.asarray([row["time_seconds"] * 1000 for row in reliable])
+    figure, axis = plt.subplots(figsize=(9, 4.5))
+    axis.plot(reliable_time_ms, [row["gain_amplitude"] for row in reliable], linewidth=1.2)
+    axis.set(xlabel="Время TX, мс", ylabel="|h|, коды RX / код TX",
+             title="Локальная амплитуда канала в надёжных окнах")
+    axis.grid(True, alpha=0.3); figure.tight_layout()
+    figure.savefig(OUTPUT / "gain_vs_time.png", dpi=160); plt.close(figure)
+    figure, axis = plt.subplots(figsize=(9, 4.5))
+    phase = np.unwrap([row["phase_rad"] for row in reliable])
+    axis.plot(reliable_time_ms, phase, linewidth=1.2)
+    axis.set(xlabel="Время TX, мс", ylabel="Развёрнутая фаза, рад",
+             title="Локальная фаза канала в надёжных окнах")
+    axis.grid(True, alpha=0.3); figure.tight_layout()
+    figure.savefig(OUTPUT / "phase_vs_time.png", dpi=160); plt.close(figure)
+
+    def bars(name: str, values, ylabel: str, title: str, baseline=None) -> None:
+        figure, axis = plt.subplots(figsize=(9, 4.5))
+        axis.bar(packet_indexes, values)
+        if baseline is not None:
+            axis.axhline(baseline, color="tab:red", linestyle="--", label="Lab056 B")
+            axis.legend()
+        axis.set(xlabel="Номер пакета", ylabel=ylabel, title=title, xticks=packet_indexes)
+        axis.grid(True, axis="y", alpha=0.3); figure.tight_layout()
+        figure.savefig(OUTPUT / name, dpi=160); plt.close(figure)
+
+    bars("received_power_by_packet.png", [row["background_subtracted_useful_power_code2"] for row in packets],
+         "Полезная AC-мощность, код²", "Принятая мощность по пакетам")
+    bars("symbol_error_rate_by_packet.png", [100 * row["symbol_error_rate"] for row in packets],
+         "Ошибочные символы, %", "Диагностическая SER по пакетам", 100 * LAB056_B["symbol_error_rate"])
+    bars("matched_residual_by_packet.png", [row["matched_residual_db"] for row in packets],
+         "Matched/residual, дБ", "Полезная согласованная составляющая к остатку", LAB056_B["matched_residual_db"])
+
+    figure, axes = plt.subplots(2, 2, figsize=(11, 7))
+    comparisons = [
+        ("SER, %", [100 * row["symbol_error_rate"] for row in packets], 100 * LAB056_B["symbol_error_rate"]),
+        ("EVM RMS", [row["symbol_rms_deviation"] for row in packets], LAB056_B["evm_rms"]),
+        ("Matched/residual, дБ", [row["matched_residual_db"] for row in packets], LAB056_B["matched_residual_db"]),
+        ("Неравномерность, дБ", [row["band_gain_nonuniformity_db"] for row in packets], LAB056_B["band_ripple_db"]),
+    ]
+    for axis, (label, values, baseline) in zip(axes.flat, comparisons):
+        axis.bar(packet_indexes, values); axis.axhline(baseline, color="tab:red", linestyle="--")
+        axis.set(xlabel="Пакет", ylabel=label, xticks=packet_indexes); axis.grid(True, axis="y", alpha=0.3)
+    figure.suptitle("Lab056 B и пакеты Lab062"); figure.tight_layout()
+    figure.savefig(OUTPUT / "lab056_b_vs_lab062_packets.png", dpi=160); plt.close(figure)
+
+
+def local_counter_semantics() -> dict:
+    binary = Path(r"C:\Users\user\Tools\HackRF\Library\bin\hackrf_transfer.exe")
+    source_candidates = list(binary.parent.parent.rglob("hackrf_transfer.c")) if binary.parent.parent.exists() else []
+    return {
+        "binary_path": str(binary), "binary_exists": binary.exists(),
+        "local_source_files": [str(path) for path in source_candidates],
+        "progress_line": "1 underruns, longest 16672 bytes",
+        "final_line": "0 underruns, longest 0 bytes",
+        "counter_semantics": "NOT_ESTABLISHED" if not source_candidates else "LOCAL_SOURCE_REQUIRES_REVIEW",
+        "note": "No local source or documentation was found that explains the reset between progress and final counters",
+    }
+
+
+def run() -> dict:
+    OUTPUT.mkdir(parents=True, exist_ok=True)
+    lab062_analysis = json.loads((LAB062 / "rf_analysis.json").read_text(encoding="utf-8"))
+    if lab062_analysis["status"] != "RF_SESSION_INVALID_TX_UNDERRUN":
+        raise RuntimeError("Lab062 must remain INVALID_TX_UNDERRUN")
+    tx, rx = lab058.Cs8File(TX_PATH), lab058.Cs8File(RX_PATH)
+    rx_start = int(lab062_analysis["location"]["rx_start_sample"])
+    gap = actual_gap()
+    if not gap["identity_confirmed"] or gap["additional_inter_packet_gap_samples"] != 0:
+        raise RuntimeError("Unexpected Lab062 TX accounting")
+    scale = underrun_scale()
+    alignment_rows = track_alignment(tx, rx, rx_start)
+    alignment = alignment_verdict(alignment_rows, scale["complex_samples"])
+
+    before = moments(rx.read(rx_start - FRAME_SAMPLES, FRAME_SAMPLES))
+    after = moments(rx.read(rx_start + tx.size, FRAME_SAMPLES))
+    background_ac_power = 0.5 * (before["ac_power_code2"] + after["ac_power_code2"])
+    packet_rows = packet_quality(tx, rx, rx_start, background_ac_power, lab062_analysis, alignment_rows)
+    trends = group_trends(packet_rows)
+    classification = classify(packet_rows, alignment)
+    most_affected = sorted(
+        packet_rows,
+        key=lambda row: (row["symbol_error_rate"], row["symbol_rms_deviation"], -row["matched_residual_db"]),
+        reverse=True,
+    )[:4]
+    selected = {3, 4, 12, 14}
+    special = [row for row in packet_rows if row["packet_index"] in selected]
+    special_common = {
+        "packets": sorted(selected),
+        "all_have_power_drop_below_median": all(
+            row["background_subtracted_useful_power_code2"] < np.median(
+                [item["background_subtracted_useful_power_code2"] for item in packet_rows]
+            ) for row in special
+        ),
+        "all_have_correlation_below_median": all(
+            row["local_correlation_median"] < np.median([item["local_correlation_median"] for item in packet_rows])
+            for row in special
+        ),
+        "all_have_large_delay_change": all(
+            row["local_delay_max_samples"] - row["local_delay_min_samples"] >= scale["complex_samples"] // 4
+            for row in special
+        ),
+        "interpretation": "No common underrun signature unless one of all three booleans is true with localized alignment evidence",
+    }
+    result = {
+        "lab": "Lab063", "status": "COMPLETED_OFFLINE", "rf_tx": 0,
+        "hardware_queries": 0, "lab062_status_preserved": lab062_analysis["status"],
+        "lab062_commit": "f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5",
+        "physical_device": "Auron HackRF Plus",
+        "api_firmware_identification": "HackRF One r9",
+        "integrity": {
+            "tx_sha256": lab062.sha256(TX_PATH), "rx_sha256": lab062.sha256(RX_PATH),
+            "tx_samples": tx.size, "rx_samples": rx.size,
+        },
+        "actual_inter_packet_gap": gap,
+        "tx_underrun_scale": scale,
+        "tx_underrun_log": local_counter_semantics(),
+        "background": {"before": before, "after": after, "ac_power_code2_used": background_ac_power,
+                       "preflight_ac_rms_code": 0.9854828456229909},
+        "local_alignment": alignment,
+        "packet_quality": packet_rows,
+        "group_trends": trends,
+        "special_packets_3_4_12_14": special_common,
+        "packets_most_affected": [row["packet_index"] for row in most_affected],
+        "active_rx_level": {
+            "ac_rms_min": min(row["ac_rms_code"] for row in packet_rows),
+            "ac_rms_max": max(row["ac_rms_code"] for row in packet_rows),
+            "max_abs_i_min": min(row["max_abs_i"] for row in packet_rows),
+            "max_abs_i_max": max(row["max_abs_i"] for row in packet_rows),
+            "max_abs_q_min": min(row["max_abs_q"] for row in packet_rows),
+            "max_abs_q_max": max(row["max_abs_q"] for row in packet_rows),
+            "mean_i_min": min(row["mean_i"] for row in packet_rows),
+            "mean_i_max": max(row["mean_i"] for row in packet_rows),
+            "mean_q_min": min(row["mean_q"] for row in packet_rows),
+            "mean_q_max": max(row["mean_q"] for row in packet_rows),
+            "local_gain_amplitude_median_min": min(row["local_gain_amplitude_median"] for row in packet_rows),
+            "local_gain_amplitude_median_max": max(row["local_gain_amplitude_median"] for row in packet_rows),
+            "analog_overload": "LESS_LIKELY_FROM_DIGITAL_LEVEL_BUT_NOT_EXCLUDED_WITHOUT_INSTRUMENT",
+        },
+        "lab056_comparison": {"reference": LAB056_B,
+                              "packets_worse_on_all_three_core_metrics": classification["packets_worse_than_lab056_on_ser_evm_and_matched_residual"]},
+        **classification,
+        "next_single_step": (
+            "Before another TX, investigate the low active RX level, gain/geometry and possible analogue compression; "
+            "also change TX streaming/logging so any underrun is unambiguous. Do not change RF parameters yet."
+            if classification["quality_distribution"] == "GLOBAL" else
+            "Improve TX streaming and underrun logging before any separately authorized repeat."
+        ),
+        "lab063_commit": "NOT_PERFORMED", "push": "NOT_PERFORMED", "lab064": "NOT_CREATED",
+    }
+    write_csv(OUTPUT / "local_alignment.csv", alignment_rows)
+    write_csv(OUTPUT / "packet_quality.csv", packet_rows)
+    plots(alignment_rows, packet_rows)
+    (OUTPUT / "summary.json").write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
+    return result
+
+
+def run_functional_tests() -> None:
+    scale = underrun_scale()
+    assert scale["complex_samples"] == 8336
+    assert abs(scale["duration_milliseconds"] - 1.042) < 1e-12
+    assert scale["symbols"] == 521.0
+    transmitted = np.exp(1j * np.arange(128) * 0.31)
+    search = np.concatenate((np.zeros(37, complex), (0.4 + 0.2j) * transmitted, np.zeros(19, complex)))
+    result = normalized_match(transmitted, search)
+    assert result["offset"] == 37 and result["normalized_correlation"] > 0.999999
+
+
+def main() -> None:
+    result = run()
+    print(json.dumps({
+        "status": result["status"],
+        "actual_inter_packet_gap": result["actual_inter_packet_gap"],
+        "tx_underrun_scale": result["tx_underrun_scale"],
+        "local_alignment": result["local_alignment"],
+        "packets_most_affected": result["packets_most_affected"],
+        "active_rx_level": result["active_rx_level"],
+        "quality_distribution": result["quality_distribution"],
+        "primary_cause_status": result["primary_cause_status"],
+        "next_single_step": result["next_single_step"],
+        "rf_tx": result["rf_tx"],
+    }, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()

tests/test_lab063_tx_underrun_localization.py

@@ -0,0 +1,111 @@
+"""Lab063: автономные проверки локального сопоставления без SDR."""
+
+from __future__ import annotations
+
+import numpy as np
+
+from experiments import lab063_tx_underrun_localization as lab
+
+
+def test_underrun_scale_is_exact():
+    result = lab.underrun_scale(16_672)
+    assert result["complex_samples"] == 8_336
+    assert result["duration_seconds"] == 0.001042
+    assert result["symbols"] == 521
+    assert np.isclose(result["fraction_of_packet"], 8_336 / 92_256)
+
+
+def test_normalized_match_recovers_offset_gain_and_low_residual():
+    random_generator = np.random.default_rng(6301)
+    transmitted = (random_generator.choice((-1.0, 1.0), 2048)
+                   * np.exp(1j * np.arange(2048) * 0.01))
+    gain = 0.35 - 0.2j
+    search = np.concatenate((np.zeros(321, complex), gain * transmitted, np.zeros(400, complex)))
+    result = lab.normalized_match(transmitted, search)
+    assert result["offset"] == 321
+    assert result["normalized_correlation"] > 0.999999
+    assert abs(result["gain"] - gain) < 1e-12
+    assert result["residual_power"] < 1e-20
+
+
+def test_alignment_localizes_inserted_delay_jump():
+    random_generator = np.random.default_rng(6302)
+    transmitted = random_generator.choice((-1.0, 1.0), 8192).astype(np.complex64)
+    split, inserted = 4096, 700
+    received = np.concatenate((np.zeros(1000), transmitted[:split], np.zeros(inserted), transmitted[split:], np.zeros(1000)))
+    rows = lab.track_alignment(
+        lab.ArrayReader(transmitted), lab.ArrayReader(received), 1000,
+        frame_samples=8192, window_samples=512, step_samples=256, search_margin=1000,
+        reliable_packet_start=0, reliable_packet_end=8192,
+    )
+    verdict = lab.alignment_verdict(rows, inserted)
+    assert verdict["local_delay_discontinuity"]
+    assert any(abs(row["delay_change_samples"]) >= inserted - 1 for row in verdict["jump_candidates"])
+
+
+def test_alignment_compares_reliable_windows_across_packet_boundary():
+    rows = [
+        {
+            "window_index": 4, "tx_sample": 1000, "rx_sample": 2000,
+            "packet_index": 1, "position_inside_packet_samples": 1000,
+            "local_delay_samples": 0, "normalized_correlation": 0.9,
+            "inside_reliable_region": True, "correlation_above_threshold": True,
+            "reliable_for_delay": True,
+        },
+        {
+            "window_index": 9, "tx_sample": 9000, "rx_sample": 10700,
+            "packet_index": 2, "position_inside_packet_samples": 800,
+            "local_delay_samples": 700, "normalized_correlation": 0.9,
+            "inside_reliable_region": True, "correlation_above_threshold": True,
+            "reliable_for_delay": True,
+        },
+    ]
+    verdict = lab.alignment_verdict(rows, 700)
+    assert verdict["local_delay_discontinuity"]
+    assert verdict["jump_candidates"][0]["packet_index"] == 2
+
+
+def test_alignment_discloses_internal_low_correlation_window():
+    rows = [
+        {
+            "window_index": 0, "tx_sample": 1000, "rx_sample": 2000,
+            "packet_index": 1, "position_inside_packet_samples": 1000,
+            "local_delay_samples": 0, "normalized_correlation": 0.9,
+            "inside_reliable_region": True, "correlation_above_threshold": True,
+            "reliable_for_delay": True,
+        },
+        {
+            "window_index": 1, "tx_sample": 1256, "rx_sample": 2956,
+            "packet_index": 1, "position_inside_packet_samples": 1256,
+            "local_delay_samples": 700, "normalized_correlation": 0.1,
+            "inside_reliable_region": True, "correlation_above_threshold": False,
+            "reliable_for_delay": False,
+        },
+    ]
+    verdict = lab.alignment_verdict(rows, 700)
+    assert verdict["internal_low_correlation_windows"]["count"] == 1
+    assert "UNDETERMINED_IN_1_INTERNAL_LOW_CORRELATION_WINDOWS" in verdict["local_delay_discontinuity_scope"]
+    assert verdict["local_delay_discontinuity"] is False
+
+
+def test_classification_marks_global_degradation_without_jump():
+    packets = [{
+        "packet_index": index,
+        "symbol_error_rate": 0.1,
+        "symbol_rms_deviation": 1.2,
+        "matched_residual_db": -1.0,
+    } for index in range(1, 17)]
+    result = lab.classify(packets, {"local_delay_discontinuity": False})
+    assert result["quality_distribution"] == "GLOBAL"
+    assert result["primary_cause_status"] == "PARTIALLY_LOCALIZED"
+
+
+def test_classification_marks_mixed_when_jump_and_global_damage_coexist():
+    packets = [{
+        "packet_index": index,
+        "symbol_error_rate": 0.1,
+        "symbol_rms_deviation": 1.2,
+        "matched_residual_db": -1.0,
+    } for index in range(1, 17)]
+    result = lab.classify(packets, {"local_delay_discontinuity": True})
+    assert result["quality_distribution"] == "MIXED"