Comments (2)
fft = audioLib.FFT(device.sampleRate, 4096);
//and when you mix your sample:
fft.pushSample(currentSample);
// now to visualize
var height = canvas.height();
var width = canvas.width();
var y = height;
context.clear();
var length, count;
length = fft.spectrum.length / 8;
context.beginPath();
context.moveTo(0, height);
for (var count = 0; count < length; count++) {
context.lineTo(count / length * width, -fft.spectrum[count] * ((Math.log(count) * 2) + 8) * height + height);
}
context.moveTo(width,0);
context.closePath();
context.fill();
context.stroke();
// the magic number 8 is for my particular implementation - but the log is important since the FFT seems to attenuate at higher frequencies by a logarithmic factor. If you don't do the log you end up with high spikes in the lower frequencies and very small bumps in the higher frequencies, despite the fact that the fundemental is high frequency.
-- Hope that helps
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thanks a lot Scott :)
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