Takes an FFT chain and separates the magnitude and phase data into separate demand-rate streams, for arithmetic manipulation etc.
This is technically a demand-rate UGen. The actual "demand" is usually created by PackFFT later on in the graph, which requests the values in order to re-pack the data. This allows for processing to occur in between.
See also PV_ChainUGen: -pvcollect, PV_ChainUGen: -pvcalc, and PV_ChainUGen: -pvcalc2, which provide convenient ways to process audio in the frequency domain. The help for pvcollect includes notes on efficiency considerations.
| chain |
FFT chain |
| bufsize |
FFT buffer size |
| frombin |
limiting analysis to the bins of interest |
| tobin |
limiting analysis to the bins of interest |
A list from DC up to Nyquist of [mag[0], phase[0], mag[1], phase[1], ... mag[nyquist], phase[nyquist]].
Note that you do have to decide your FFT buffer size in advance, since this determines how many values the UGen will output.
#magsphases = UnpackFFT(chain, bufsize)// This one just drags out various the values and posts them - a little bit pointless!({ var sig, chain, stream, windowStarts, fftSize; fftSize = 1024; sig = SinOsc.ar(LFDNoise3.kr(LFNoise0.kr(1) * 40 + 60) * 700 + 800); chain = FFT(LocalBuf(1, fftSize), sig); // a window start is indicated by a signal leaving the -1 bottom line windowStarts = chain > -1; // Using the frombin & tobin args makes it much more efficient, limiting analysis to the bins of interest stream = UnpackFFT(chain, fftSize, frombin: 0, tobin: 4); // Demand some data from the unpacker. // NOTE: At present, Demand.kr is unable to handle more than 32 inputs, // so using frombin & tobin to limit the number of bins is compulsory. Demand.kr(windowStarts, 0, stream).collect { |anunp, index| var label = if(index.even) { "Magnitude" } { "Phase" }; label = label + (index / 2).floor; anunp.poll(windowStarts, label) }; sig * 0.05}.play)// simple frequency-domain manipulation, square-rooting the magnitudes AND phases.(x = { var sig, chain, magsphases, b; b = LocalBuf(1, 1024); sig = SinOsc.ar(LFDNoise3.kr(LFNoise0.kr(1) * 40 + 60) * 700 + 800); chain = FFT(b, sig); magsphases = UnpackFFT(chain, b.numFrames); magsphases = magsphases.collect(_.sqrt); chain = PackFFT(chain, b.numFrames, magsphases); IFFT(chain) * 0.1}.play)