initial commit

This commit is contained in:
2026-03-25 19:46:15 +01:00
commit a513c66503
26 changed files with 2892 additions and 0 deletions

View File

@@ -0,0 +1,170 @@
#include "dsp/SpectrumAnalyzer.h"
#include <algorithm>
#include <cmath>
#include <cstring>
namespace baudline {
SpectrumAnalyzer::SpectrumAnalyzer() {
// Force sizeChanged=true on first configure by setting fftSize to 0.
settings_.fftSize = 0;
configure(AnalyzerSettings{});
}
void SpectrumAnalyzer::configure(const AnalyzerSettings& settings) {
bool sizeChanged = settings.fftSize != settings_.fftSize ||
settings.isIQ != settings_.isIQ ||
settings.numChannels != settings_.numChannels;
settings_ = settings;
fft_.configure(settings_.fftSize, settings_.isIQ);
WindowFunctions::generate(settings_.window, settings_.fftSize, window_,
settings_.kaiserBeta);
windowGain_ = WindowFunctions::coherentGain(window_);
int inCh = settings_.inputChannels();
hopSize_ = static_cast<size_t>(settings_.fftSize * (1.0f - settings_.overlap));
if (hopSize_ < 1) hopSize_ = 1;
if (sizeChanged) {
accumBuf_.assign(settings_.fftSize * inCh, 0.0f);
accumPos_ = 0;
int nSpec = settings_.isIQ ? 1 : settings_.numChannels;
int specSz = fft_.spectrumSize();
channelSpectra_.assign(nSpec, std::vector<float>(specSz, -200.0f));
channelWaterfalls_.assign(nSpec, {});
avgAccum_.assign(nSpec, std::vector<float>(specSz, 0.0f));
avgCount_ = 0;
newSpectrumReady_ = false;
}
}
void SpectrumAnalyzer::pushSamples(const float* data, size_t frames) {
int inCh = settings_.inputChannels();
size_t totalSamples = frames * inCh;
size_t bufLen = static_cast<size_t>(settings_.fftSize) * inCh;
const float* ptr = data;
size_t remaining = totalSamples;
newSpectrumReady_ = false;
while (remaining > 0) {
size_t space = bufLen - accumPos_;
size_t toCopy = std::min(remaining, space);
std::memcpy(accumBuf_.data() + accumPos_, ptr, toCopy * sizeof(float));
accumPos_ += toCopy;
ptr += toCopy;
remaining -= toCopy;
if (accumPos_ >= bufLen) {
processBlock();
// Shift by hopSize for overlap
size_t hopSamples = hopSize_ * inCh;
size_t keep = bufLen - hopSamples;
std::memmove(accumBuf_.data(), accumBuf_.data() + hopSamples,
keep * sizeof(float));
accumPos_ = keep;
}
}
}
void SpectrumAnalyzer::processBlock() {
int N = settings_.fftSize;
int inCh = settings_.inputChannels();
int nSpec = static_cast<int>(channelSpectra_.size());
int specSz = fft_.spectrumSize();
// Compute per-channel spectra.
std::vector<std::vector<float>> tempDBs(nSpec);
if (settings_.isIQ) {
// I/Q: treat the 2 interleaved channels as one complex signal.
std::vector<float> windowed(N * 2);
for (int i = 0; i < N; ++i) {
windowed[2 * i] = accumBuf_[2 * i] * window_[i];
windowed[2 * i + 1] = accumBuf_[2 * i + 1] * window_[i];
}
fft_.processComplex(windowed.data(), tempDBs[0]);
} else {
// Real: deinterleave and FFT each channel independently.
std::vector<float> chanBuf(N);
for (int ch = 0; ch < nSpec; ++ch) {
// Deinterleave channel `ch` from the accumulation buffer.
for (int i = 0; i < N; ++i)
chanBuf[i] = accumBuf_[i * inCh + ch];
WindowFunctions::apply(window_, chanBuf.data(), N);
fft_.processReal(chanBuf.data(), tempDBs[ch]);
}
}
// Correct for window gain.
float correction = -20.0f * std::log10(windowGain_ > 0 ? windowGain_ : 1.0f);
for (auto& db : tempDBs)
for (float& v : db)
v += correction;
// Averaging.
if (settings_.averaging > 1) {
if (static_cast<int>(avgAccum_[0].size()) != specSz) {
for (auto& a : avgAccum_) a.assign(specSz, 0.0f);
avgCount_ = 0;
}
for (int ch = 0; ch < nSpec; ++ch)
for (int i = 0; i < specSz; ++i)
avgAccum_[ch][i] += tempDBs[ch][i];
avgCount_++;
if (avgCount_ >= settings_.averaging) {
for (int ch = 0; ch < nSpec; ++ch)
for (int i = 0; i < specSz; ++i)
tempDBs[ch][i] = avgAccum_[ch][i] / avgCount_;
for (auto& a : avgAccum_) a.assign(specSz, 0.0f);
avgCount_ = 0;
} else {
return;
}
}
// Store results.
for (int ch = 0; ch < nSpec; ++ch) {
channelSpectra_[ch] = tempDBs[ch];
channelWaterfalls_[ch].push_back(tempDBs[ch]);
if (channelWaterfalls_[ch].size() > kWaterfallHistory)
channelWaterfalls_[ch].pop_front();
}
newSpectrumReady_ = true;
}
std::pair<int, float> SpectrumAnalyzer::findPeak(int ch) const {
if (ch < 0 || ch >= static_cast<int>(channelSpectra_.size()) ||
channelSpectra_[ch].empty())
return {0, -200.0f};
const auto& spec = channelSpectra_[ch];
auto it = std::max_element(spec.begin(), spec.end());
int idx = static_cast<int>(std::distance(spec.begin(), it));
return {idx, *it};
}
double SpectrumAnalyzer::binToFreq(int bin) const {
double sr = settings_.sampleRate;
int N = settings_.fftSize;
if (settings_.isIQ) {
return -sr / 2.0 + (static_cast<double>(bin) / N) * sr;
} else {
return (static_cast<double>(bin) / N) * sr;
}
}
void SpectrumAnalyzer::clearHistory() {
for (auto& w : channelWaterfalls_) w.clear();
newSpectrumReady_ = false;
}
} // namespace baudline