Implements heuristic-based signal identification that provides
plain-English guesses for detected signals based on frequency,
modulation, bandwidth, and burst behavior.
Features:
- Python backend engine (utils/signal_guess.py)
- JavaScript client-side engine with UI components
- Hedged language output (never claims certainty)
- UK/EU and US region support
- Confidence levels (LOW/MEDIUM/HIGH)
- 50+ unit tests for deterministic verification
Supported signal types: FM broadcast, airband, cellular/LTE,
ISM bands (433/868/915/2.4GHz), TPMS, amateur radio, marine VHF,
DAB, pager networks, weather satellites, ADS-B, and more.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
