41 lines
1.3 KiB
Markdown
41 lines
1.3 KiB
Markdown
# ADR-002: Signal Processing Library Selection
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## Status
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Accepted
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## Context
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CSI signal processing requires FFT operations, complex number handling, and matrix operations. We need to select appropriate Rust libraries that provide Python/NumPy equivalent functionality.
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## Decision
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We will use the following libraries:
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| Library | Purpose | Python Equivalent |
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|---------|---------|-------------------|
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| `ndarray` | N-dimensional arrays | NumPy |
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| `rustfft` | FFT operations | numpy.fft |
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| `num-complex` | Complex numbers | complex |
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| `num-traits` | Numeric traits | - |
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### Key Implementations
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1. **Phase Sanitization**: Multiple unwrapping methods (Standard, Custom, Itoh, Quality-Guided)
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2. **CSI Processing**: Amplitude/phase extraction, temporal smoothing, Hamming windowing
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3. **Feature Extraction**: Doppler, PSD, amplitude, phase, correlation features
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4. **Motion Detection**: Variance-based with adaptive thresholds
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## Consequences
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### Positive
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- Pure Rust implementation (no FFI overhead)
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- WASM compatible (rustfft is pure Rust)
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- NumPy-like API with ndarray
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- High performance with SIMD optimizations
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### Negative
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- ndarray-linalg requires BLAS backend for advanced operations
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- Learning curve for ndarray patterns
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## References
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- [ndarray documentation](https://docs.rs/ndarray)
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- [rustfft documentation](https://docs.rs/rustfft)
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