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