void PixarDemo2012::generateWaveforms()
{
// DRAW MEM SPEHRES AND WAVEFORMS
// Check init flag
if ( mFft ) {
// Get data in the frequency (transformed) and time domains
float * freqData = mFft->getAmplitude();
float * timeData = mFft->getData();
int32_t dataSize = mFft->getBinSize();
// Cast data size to float
float dataSizef = (float)dataSize;
// Get dimensions
float scale = ( (float)getWindowWidth() - 20.0f ) / dataSizef;
float windowHeight = (float)getWindowHeight();
// Use polylines to depict time and frequency domains
PolyLine<Vec2f> freqLine;
PolyLine<Vec2f> timeLine;
makeBall = 0.0f;
float greatestFreq = 0.0;
// Iterate through data
for ( int32_t i = 0; i < dataSize; i++ ) {
// Do logarithmic plotting for frequency domain
float logSize = math<float>::log( dataSizef );
float x = (float)( ( math<float>::log( (float)i ) / logSize ) * dataSizef );
float y = math<float>::clamp( freqData[ i ] * ( x / dataSizef ) * ( math<float>::log( ( dataSizef - (float)i ) ) ), 0.0f, 2.0f );
if (y > makeBall) makeBall = y;
if(y > greatestFreq)
greatestFreq = y;
// Plot points on lines for tme domain
freqLine.push_back( Vec2f( x * scale + 10.0f, -y * ( windowHeight - 20.0f ) * 1.75f + ( windowHeight - 10.0f ) ) );
timeLine.push_back( Vec2f( (float)i * scale + 10.0f, timeData[ i ] * ( windowHeight - 20.0f ) * 0.25f + ( windowHeight * 0.25f + 10.0f ) ) );
}
//printf("%f\n", greatestFreq);
theMindField.SetAmps(greatestFreq);
// Draw signals
if ( drawFFT ) {
gl::draw( freqLine );
gl::draw( timeLine );
}
}
}
// Draw
void KissBasicApp::draw()
{
// Clear screen
gl::clear( ColorAf::black() );
// Check init flag
if ( mFft ) {
// Get data in the frequency (transformed) and time domains
float * freqData = mFft->getAmplitude();
float * timeData = mFft->getData();
int32_t dataSize = mFft->getBinSize();
// Cast data size to float
float dataSizef = (float)dataSize;
// Get dimensions
float scale = ( (float)getWindowWidth() - 20.0f ) / dataSizef;
float windowHeight = (float)getWindowHeight();
// Use polylines to depict time and frequency domains
PolyLine<Vec2f> freqLine;
PolyLine<Vec2f> timeLine;
// Iterate through data
for ( int32_t i = 0; i < dataSize; i++ ) {
// Do logarithmic plotting for frequency domain
float logSize = math<float>::log( dataSizef );
float x = (float)( (math<float>::log( (float)i) / logSize ) * dataSizef );
float y = math<float>::clamp( freqData[i] * ( x / dataSizef ) * ( math<float>::log( ( dataSizef - (float)i ) ) ), 0.0f, 2.0f );
// Plot points on lines for tme domain
freqLine.push_back( Vec2f( x * scale + 10.0f, -y * ( windowHeight - 20.0f ) * 0.25f + ( windowHeight - 10.0f ) ) );
timeLine.push_back( Vec2f( (float)i * scale + 10.0f, timeData[ i ] * ( windowHeight - 20.0f ) * 0.25f + ( windowHeight * 0.25f + 10.0f ) ) );
}
// Draw signals
gl::draw( freqLine );
gl::draw( timeLine );
}
}
// Runs update logic
void KissTempoApp::update()
{
// Don't evaluate right away or unrealistically
// high numbers will pop up
if ( getElapsedSeconds() < 0.5 ) {
return;
}
// Check if track is playing and has a PCM buffer available
if ( mTrack && mTrack->isPlaying() && mTrack->isPcmBuffering() ) {
// Get buffer
mBuffer = mTrack->getPcmBuffer();
if ( mBuffer && mBuffer->getInterleavedData() ) {
// Get sample count
uint32_t sampleCount = mBuffer->getInterleavedData()->mSampleCount;
if ( sampleCount > 0 ) {
// Kiss is not initialized
if ( !mFft ) {
// Initialize analyzer
mFft = Kiss::create( sampleCount );
// Set filter on FFT to calculate tempo based on beats
mFft->setFilter( 0.2f, Kiss::Filter::LOW_PASS );
}
// Analyze data
if ( mBuffer->getInterleavedData()->mData != 0 ) {
// Set FFT data
mInputData = mBuffer->getInterleavedData()->mData;
mInputSize = mBuffer->getInterleavedData()->mSampleCount;
mFft->setData( mInputData );
// Get data
mTimeData = mFft->getData();
mDataSize = mFft->getBinSize();
// Iterate through amplitude data
for ( int32_t i = 0; i < mDataSize; i++, mSampleDistance++ ) {
// Check value against threshold
if ( mTimeData[ i ] >= mThreshold ) {
// Determine neighbor range
int32_t start = math<int32_t>::max( i - mNeighbors, 0 );
int32_t end = math<int32_t>::min( i + mNeighbors, mDataSize - 1 );
// Compare this value with neighbors to find peak
bool peak = true;
for ( int32_t j = start; j < end; j++ ) {
if ( j != i && mTimeData[ i ] <= mTimeData[ j ] ) {
peak = false;
break;
}
}
// This is a peak
if ( peak ) {
// Add distance between this peak and last into the
// list. Just note position if this is the first peak.
if ( mFirstPeak >= 0 ) {
mPeakDistances.push_back( mSampleDistance );
} else {
mFirstPeak = mSampleDistance;
}
// Reset distance counter
mSampleDistance = 0;
}
}
}
}
}
// We have multiple peaks to compare
if ( mPeakDistances.size() > 1 ) {
// Add distances
int32_t total = 0;
uint32_t peakCount = mPeakDistances.size();
for ( uint32_t i = 0; i < peakCount; i++ ) {
total += mPeakDistances[ i ];
}
// Determine tempo based on average peak distance
mTempo = total > 0 ? ( 44100.0f / ( (float)total / (float)mPeakDistances.size() ) ) * 60.0f / 1000.0f : 0.0f;
}
// Get current window height
int32_t windowHeight = getWindowHeight() / 8;
// Add up values, combine input and filtered values
// to emphasize bass
float total = 0.0f;
for ( int32_t i = 0; i < mDataSize; i++ ) {
if ( i * 8 < mInputSize ) {
total += mTimeData[ i ] * 2.0f * mInputData[ i * 8 ];
}
}
// Add average to drawing line
mWaveform.push_back( total / (float)mDataSize );
// Remove points when vector is wider than screen
while ( mWaveform.size() >= (uint32_t)windowHeight ) {
mWaveform.erase( mWaveform.begin() );
}
}
}
}