Files
soothe2-re/dsp/framed_model.hpp
T

37 lines
1.2 KiB
C++

#pragma once
#include <cstddef>
#include <complex>
#include <vector>
// FramedDetector — C++ port of framed_render.py (Phase 5 pilot, mean=0.175 dB).
// Per-frame per-bin mask:
// res[f] = |2B(z)/A(z)| (twin resonance, detkernel::twin)
// am = 2|X_k|/wsum (per-bin input amplitude, smoothed attack/release)
// xv = log10(am / res)
// C = G_FIT*LUT(xv) + W_FIT*warp(f)^A_FIT
// gain = max(1-C, eps) * res^(rp0*Q^drp)
class FramedDetector {
public:
FramedDetector(size_t nfft, float sample_rate);
~FramedDetector();
// fc = band center freq, q = resonance Q (>=1). Precomputes res[] + warp[].
void setParams(float fc, float q);
// spectrum = forward FFT of one windowed frame (nfft/2+1 bins used).
// mask output = per-bin complex gain (nfft entries, mirror applied).
void processFrame(const std::complex<double>* spectrum, float* mask);
private:
size_t nfft_;
float sample_rate_;
float fc_;
float q_;
double wsum_;
std::vector<float> res_; // per-bin |2B/A|
std::vector<float> warp_; // per-bin warp tilt
std::vector<float> am_; // smoothed per-bin amplitude state
bool inited_;
};