Files
soothe2-re/dsp/spectral.hpp
T
Matiq 2c99a4fc96 feat: consumer identified (th_b3c0), scan3.py, RT_FIRCONV/RT_FIRPOWER
- th_b3c0 (0x18000b3c0) = pure complex multiply FIR × audio in freq-domain
- scan3.py: pre-scan approach finds ctx in 1.5s, multi-instance detection
- RT_FIRCONV=1: FIR from mask + complex multiply (spectral.cpp)
- RT_FIRPOWER=1: power-law mask from raw spectrum (framed_model.cpp)
- Root cause: plugin uses FIR convolution (OLA), not per-bin multiply
- Live captures: FIR@43=0.524, mask@43=0.510, final gain=0.305
- Best result: RT_LUT_OFF gives cut@500=-8.18 dB (ref -10.32)
- NOTES_LEVEL 24e/24f/24g appended
2026-08-24 13:52:52 +03:00

41 lines
1.1 KiB
C++

#pragma once
#include <cstddef>
#include <cstdint>
#include <complex>
#include <vector>
#include "fft.hpp"
#include "framed_model.hpp"
constexpr size_t DEFAULT_NFFT = 2048;
constexpr size_t DEFAULT_HOP = 512;
class SpectralProcessor {
public:
SpectralProcessor(size_t nfft = DEFAULT_NFFT, size_t hop = DEFAULT_HOP,
float sample_rate = 44100.0f);
~SpectralProcessor();
void setDetectorParams(const std::vector<DetectorBand>& bands);
void processBlock(float* in, float* out, size_t num_samples, size_t num_channels = 1);
private:
size_t nfft_;
size_t hop_;
double* window_;
FFTPlan plan_;
std::complex<double>* buf_;
std::complex<double>* tmp_buf_;
std::complex<double>* fir_buf_;
std::complex<double>* fir_freq_;
std::vector<double> fir_window_;
std::vector<float> overlap_;
std::vector<float> mask_;
FramedDetector detector_;
size_t frame_count_;
size_t output_pos_;
void computeWindow();
void stftFrame(const float* in, std::complex<double>* out);
void istftFrame(std::complex<double>* in, float* out, float* overlap);
};