mirror of
https://github.com/f4exb/sdrangel.git
synced 2024-12-23 18:15:45 -05:00
379 lines
12 KiB
C++
379 lines
12 KiB
C++
#include "dsp/spectrumvis.h"
|
|
#include "gui/glspectrum.h"
|
|
#include "dsp/dspcommands.h"
|
|
#include "util/messagequeue.h"
|
|
|
|
#define MAX_FFT_SIZE 4096
|
|
|
|
#ifndef LINUX
|
|
inline double log2f(double n)
|
|
{
|
|
return log(n) / log(2.0);
|
|
}
|
|
#endif
|
|
|
|
MESSAGE_CLASS_DEFINITION(SpectrumVis::MsgConfigureSpectrumVis, Message)
|
|
|
|
const Real SpectrumVis::m_mult = (10.0f / log2f(10.0f));
|
|
|
|
SpectrumVis::SpectrumVis(Real scalef, GLSpectrum* glSpectrum) :
|
|
BasebandSampleSink(),
|
|
m_fft(FFTEngine::create()),
|
|
m_fftBuffer(MAX_FFT_SIZE),
|
|
m_powerSpectrum(MAX_FFT_SIZE),
|
|
m_fftBufferFill(0),
|
|
m_needMoreSamples(false),
|
|
m_scalef(scalef),
|
|
m_glSpectrum(glSpectrum),
|
|
m_averageNb(0),
|
|
m_avgMode(AvgModeNone),
|
|
m_linear(false),
|
|
m_ofs(0),
|
|
m_powFFTDiv(1.0),
|
|
m_mutex(QMutex::Recursive)
|
|
{
|
|
setObjectName("SpectrumVis");
|
|
handleConfigure(1024, 0, 0, AvgModeNone, FFTWindow::BlackmanHarris, false);
|
|
}
|
|
|
|
SpectrumVis::~SpectrumVis()
|
|
{
|
|
delete m_fft;
|
|
}
|
|
|
|
void SpectrumVis::configure(MessageQueue* msgQueue,
|
|
int fftSize,
|
|
int overlapPercent,
|
|
unsigned int averagingNb,
|
|
AvgMode averagingMode,
|
|
FFTWindow::Function window,
|
|
bool linear)
|
|
{
|
|
MsgConfigureSpectrumVis* cmd = new MsgConfigureSpectrumVis(fftSize, overlapPercent, averagingNb, averagingMode, window, linear);
|
|
msgQueue->push(cmd);
|
|
}
|
|
|
|
void SpectrumVis::feedTriggered(const SampleVector::const_iterator& triggerPoint, const SampleVector::const_iterator& end, bool positiveOnly)
|
|
{
|
|
feed(triggerPoint, end, positiveOnly); // normal feed from trigger point
|
|
/*
|
|
if (triggerPoint == end)
|
|
{
|
|
// the following piece of code allows to terminate the FFT that ends past the end of scope captured data
|
|
// that is the spectrum will include the captured data
|
|
// just do nothing if you want the spectrum to be included inside the scope captured data
|
|
// that is to drop the FFT that dangles past the end of captured data
|
|
if (m_needMoreSamples) {
|
|
feed(begin, end, positiveOnly);
|
|
m_needMoreSamples = false; // force finish
|
|
}
|
|
}
|
|
else
|
|
{
|
|
feed(triggerPoint, end, positiveOnly); // normal feed from trigger point
|
|
}*/
|
|
}
|
|
|
|
void SpectrumVis::feed(const SampleVector::const_iterator& cbegin, const SampleVector::const_iterator& end, bool positiveOnly)
|
|
{
|
|
// if no visualisation is set, send the samples to /dev/null
|
|
|
|
if (m_glSpectrum == 0) {
|
|
return;
|
|
}
|
|
|
|
if (!m_mutex.tryLock(0)) { // prevent conflicts with configuration process
|
|
return;
|
|
}
|
|
|
|
SampleVector::const_iterator begin(cbegin);
|
|
|
|
while (begin < end)
|
|
{
|
|
std::size_t todo = end - begin;
|
|
std::size_t samplesNeeded = m_refillSize - m_fftBufferFill;
|
|
|
|
if (todo >= samplesNeeded)
|
|
{
|
|
// fill up the buffer
|
|
std::vector<Complex>::iterator it = m_fftBuffer.begin() + m_fftBufferFill;
|
|
|
|
for (std::size_t i = 0; i < samplesNeeded; ++i, ++begin)
|
|
{
|
|
*it++ = Complex(begin->real() / m_scalef, begin->imag() / m_scalef);
|
|
}
|
|
|
|
// apply fft window (and copy from m_fftBuffer to m_fftIn)
|
|
m_window.apply(&m_fftBuffer[0], m_fft->in());
|
|
|
|
// calculate FFT
|
|
m_fft->transform();
|
|
|
|
// extract power spectrum and reorder buckets
|
|
const Complex* fftOut = m_fft->out();
|
|
Complex c;
|
|
Real v;
|
|
std::size_t halfSize = m_fftSize / 2;
|
|
|
|
if (m_avgMode == AvgModeNone)
|
|
{
|
|
if ( positiveOnly )
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
v = m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
|
|
m_powerSpectrum[i * 2] = v;
|
|
m_powerSpectrum[i * 2 + 1] = v;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i + halfSize];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
v = m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
|
|
m_powerSpectrum[i] = v;
|
|
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
v = m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
|
|
m_powerSpectrum[i + halfSize] = v;
|
|
}
|
|
}
|
|
|
|
// send new data to visualisation
|
|
m_glSpectrum->newSpectrum(m_powerSpectrum, m_fftSize);
|
|
}
|
|
else if (m_avgMode == AvgModeMovingAvg)
|
|
{
|
|
if ( positiveOnly )
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
v = m_movingAverage.storeAndGetAvg(v, i);
|
|
v = m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
|
|
m_powerSpectrum[i * 2] = v;
|
|
m_powerSpectrum[i * 2 + 1] = v;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i + halfSize];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
v = m_movingAverage.storeAndGetAvg(v, i+halfSize);
|
|
v = m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
|
|
m_powerSpectrum[i] = v;
|
|
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
v = m_movingAverage.storeAndGetAvg(v, i);
|
|
v = m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
|
|
m_powerSpectrum[i + halfSize] = v;
|
|
}
|
|
}
|
|
|
|
// send new data to visualisation
|
|
m_glSpectrum->newSpectrum(m_powerSpectrum, m_fftSize);
|
|
m_movingAverage.nextAverage();
|
|
}
|
|
else if (m_avgMode == AvgModeFixedAvg)
|
|
{
|
|
double avg;
|
|
|
|
if ( positiveOnly )
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
|
|
if (m_fixedAverage.storeAndGetAvg(avg, v, i))
|
|
{
|
|
avg = m_linear ? avg/m_powFFTDiv : m_mult * log2f(avg) + m_ofs;
|
|
m_powerSpectrum[i * 2] = avg;
|
|
m_powerSpectrum[i * 2 + 1] = avg;
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i + halfSize];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
|
|
if (m_fixedAverage.storeAndGetAvg(avg, v, i+halfSize))
|
|
{ // result available
|
|
avg = m_linear ? avg/m_powFFTDiv : m_mult * log2f(avg) + m_ofs;
|
|
m_powerSpectrum[i] = avg;
|
|
}
|
|
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
|
|
if (m_fixedAverage.storeAndGetAvg(avg, v, i))
|
|
{ // result available
|
|
avg = m_linear ? avg/m_powFFTDiv : m_mult * log2f(avg) + m_ofs;
|
|
m_powerSpectrum[i + halfSize] = avg;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (m_fixedAverage.nextAverage()) { // result available
|
|
m_glSpectrum->newSpectrum(m_powerSpectrum, m_fftSize); // send new data to visualisation
|
|
}
|
|
}
|
|
else if (m_avgMode == AvgModeMax)
|
|
{
|
|
double max;
|
|
|
|
if ( positiveOnly )
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
|
|
if (m_max.storeAndGetMax(max, v, i))
|
|
{
|
|
max = m_linear ? max/m_powFFTDiv : m_mult * log2f(max) + m_ofs;
|
|
m_powerSpectrum[i * 2] = max;
|
|
m_powerSpectrum[i * 2 + 1] = max;
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (std::size_t i = 0; i < halfSize; i++)
|
|
{
|
|
c = fftOut[i + halfSize];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
|
|
if (m_max.storeAndGetMax(max, v, i+halfSize))
|
|
{ // result available
|
|
max = m_linear ? max/m_powFFTDiv : m_mult * log2f(max) + m_ofs;
|
|
m_powerSpectrum[i] = max;
|
|
}
|
|
|
|
c = fftOut[i];
|
|
v = c.real() * c.real() + c.imag() * c.imag();
|
|
|
|
if (m_max.storeAndGetMax(max, v, i))
|
|
{ // result available
|
|
max = m_linear ? max/m_powFFTDiv : m_mult * log2f(max) + m_ofs;
|
|
m_powerSpectrum[i + halfSize] = max;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (m_max.nextMax()) { // result available
|
|
m_glSpectrum->newSpectrum(m_powerSpectrum, m_fftSize); // send new data to visualisation
|
|
}
|
|
}
|
|
|
|
// advance buffer respecting the fft overlap factor
|
|
std::copy(m_fftBuffer.begin() + m_refillSize, m_fftBuffer.end(), m_fftBuffer.begin());
|
|
|
|
// start over
|
|
m_fftBufferFill = m_overlapSize;
|
|
m_needMoreSamples = false;
|
|
}
|
|
else
|
|
{
|
|
// not enough samples for FFT - just fill in new data and return
|
|
for(std::vector<Complex>::iterator it = m_fftBuffer.begin() + m_fftBufferFill; begin < end; ++begin)
|
|
{
|
|
*it++ = Complex(begin->real() / m_scalef, begin->imag() / m_scalef);
|
|
}
|
|
|
|
m_fftBufferFill += todo;
|
|
m_needMoreSamples = true;
|
|
}
|
|
}
|
|
|
|
m_mutex.unlock();
|
|
}
|
|
|
|
void SpectrumVis::start()
|
|
{
|
|
}
|
|
|
|
void SpectrumVis::stop()
|
|
{
|
|
}
|
|
|
|
bool SpectrumVis::handleMessage(const Message& message)
|
|
{
|
|
if (MsgConfigureSpectrumVis::match(message))
|
|
{
|
|
MsgConfigureSpectrumVis& conf = (MsgConfigureSpectrumVis&) message;
|
|
handleConfigure(conf.getFFTSize(),
|
|
conf.getOverlapPercent(),
|
|
conf.getAverageNb(),
|
|
conf.getAvgMode(),
|
|
conf.getWindow(),
|
|
conf.getLinear());
|
|
return true;
|
|
}
|
|
else
|
|
{
|
|
return false;
|
|
}
|
|
}
|
|
|
|
void SpectrumVis::handleConfigure(int fftSize,
|
|
int overlapPercent,
|
|
unsigned int averageNb,
|
|
AvgMode averagingMode,
|
|
FFTWindow::Function window,
|
|
bool linear)
|
|
{
|
|
// qDebug("SpectrumVis::handleConfigure, fftSize: %d overlapPercent: %d averageNb: %u averagingMode: %d window: %d linear: %s",
|
|
// fftSize, overlapPercent, averageNb, (int) averagingMode, (int) window, linear ? "true" : "false");
|
|
QMutexLocker mutexLocker(&m_mutex);
|
|
|
|
if (fftSize > MAX_FFT_SIZE)
|
|
{
|
|
fftSize = MAX_FFT_SIZE;
|
|
}
|
|
else if (fftSize < 64)
|
|
{
|
|
fftSize = 64;
|
|
}
|
|
|
|
if (overlapPercent > 100)
|
|
{
|
|
m_overlapPercent = 100;
|
|
}
|
|
else if (overlapPercent < 0)
|
|
{
|
|
m_overlapPercent = 0;
|
|
}
|
|
else
|
|
{
|
|
m_overlapPercent = overlapPercent;
|
|
}
|
|
|
|
m_fftSize = fftSize;
|
|
m_fft->configure(m_fftSize, false);
|
|
m_window.create(window, m_fftSize);
|
|
m_overlapSize = (m_fftSize * m_overlapPercent) / 100;
|
|
m_refillSize = m_fftSize - m_overlapSize;
|
|
m_fftBufferFill = m_overlapSize;
|
|
m_movingAverage.resize(fftSize, averageNb > 1000 ? 1000 : averageNb); // Capping to avoid out of memory condition
|
|
m_fixedAverage.resize(fftSize, averageNb);
|
|
m_max.resize(fftSize, averageNb);
|
|
m_averageNb = averageNb;
|
|
m_avgMode = averagingMode;
|
|
m_linear = linear;
|
|
m_ofs = 20.0f * log10f(1.0f / m_fftSize);
|
|
m_powFFTDiv = m_fftSize*m_fftSize;
|
|
}
|