leetcrypt
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af9942f822
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feat: robust timing analyzer for RF device identification - iteration 2/5
- Implemented multi-method timing extraction (K-means, histogram, percentile)
- Added intelligent outlier removal with IQR method (2.5x threshold)
- Integrated timing analyzer into pattern_decoder.py
- Created comprehensive scoring system against protocol signatures
- Handles noisy/imperfect captures with tolerance windows
Components:
- RobustTimingAnalyzer: Multi-strategy timing extraction
- TimingCharacteristics: Extracted pulse/gap/ratio data
- TimingScore: Similarity scoring with weighted components
- TimingMatchStrategy: Integration with engine.py
Features:
- Separates HIGH/LOW pulses before outlier removal (preserves alternating pattern)
- Multi-method ensemble: tries K-means → histogram → percentile
- Confidence scoring based on clustering quality
- Timing ratios (short/long pulse ratios) for better matching
- Duty cycle calculation
- Configurable tolerance windows (default ±25%)
Test Coverage:
- 15 new unit tests in tests/unit/test_timing_analyzer.py
- All 41 tests passing (26 original + 15 new)
- Coverage: clean signals, noisy signals, outliers, multi-level, scoring, real-world LaCrosse
Expected Impact:
- Improved single-transmission accuracy (20% → 55% projected)
- Better noise tolerance for Flipper Zero captures
- More accurate protocol matching with 299 signatures
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2026-02-14 19:06:13 -08:00 |
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Trilltechnician
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48fcb00241
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Phase 3 Complete: Web Interface MVP
Major Achievements:
- ✅ Full web interface (1,520+ lines of frontend code)
- ✅ Interactive Leaflet.js map with marker clustering
- ✅ Drag-and-drop upload system with GPS input
- ✅ Search & filter UI with multi-criteria
- ✅ Statistics dashboard with Chart.js
- ✅ Responsive mobile-friendly design
Backend:
- ✅ FastAPI static file serving
- ✅ Simplified server mode (main_simple.py)
- ✅ Improved startup script with port auto-selection
- ✅ PostgreSQL schema ready (requires setup)
Database:
- ✅ SQLite populated with 85 Flipper Zero signatures
- ✅ Device matching system operational
- ✅ Frequency-based search working
Documentation:
- ✅ PHASE_3_COMPLETE.md - Technical summary
- ✅ WEB_INTERFACE_README.md - User guide
- ✅ WEBAPP_STARTUP_GUIDE.md - Troubleshooting
- ✅ POSTGRESQL_SETUP_EXPLANATION.md - DB setup guide
- ✅ DATABASE_POPULATION_SUCCESS.md - Import report
- ✅ DEVICE_IDENTIFICATION_REPORT.md - Matching analysis
Files Created:
- templates/index.html (260 lines)
- static/css/main.css (500 lines)
- static/js/*.js (760 lines total)
- src/api/main_simple.py (simplified server)
- start_web.sh (auto port selection)
Status: Production MVP Ready
Next: Phase 4 - API & Integration
🛰️ Generated with Claude Code
https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
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2026-01-12 18:21:11 -08:00 |
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