db3e0c79b9
Sweeps any set of frequency ranges, records what it finds, and works out what kind of signal it was. - Frequency ranges entered by hand or picked from a 135-entry US band plan, including whole-band and all-CW sweeps that resolve the demodulator per segment. - Detection calibrated against the peak-hold detector's own noise statistics, so the threshold means real margin over static rather than over the floor. - A content gate: captures are kept only if they carry voice, decodable CW, or an identified digital keying scheme. Speech is recognised by a pitch track that drifts, which static cannot imitate. - Identification of NFM/WFM/AM/SSB, CW with Morse decoded to text, P25, DMR, NXDN, D-STAR, POCSAG, FLEX, ACARS, AIS, APRS, n-FSK and n-PSK. - Gapless streaming capture, with the signal path fast enough to keep up in real time, so recordings play back at the right speed. - Optional one-file-per-frequency recording with spoken timestamps, and speech-to-text transcription. - Menus and command line generated from one settings table, so neither can offer something the other cannot; settings persist in ~/.config. 367 tests, run against synthetic signals, a built-in receiver simulator, and real hardware. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
18 lines
201 B
Text
18 lines
201 B
Text
__pycache__/
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*.py[cod]
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*.egg-info/
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.pytest_cache/
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build/
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dist/
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recordings/
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*.wav
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*.cf32
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*.cs16
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*.sigmf-meta
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# transcripts land beside recordings
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*_transcription.txt
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# local environments
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.venv/
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venv/
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