Output for a patcher loaded by pfft~
|outlet-assignment||int||Obligatory. Determines the outlet number in the pfft~ which will receive the output of the fftout~ object. Outlet assignments start at 1 for the leftmost outlet of pfft~. Multiple fftout~ objects will typically have different outlet numbers.|
|window-envelope-function||symbol||opt||Tells fftout~ which window envelope function to use when overlapping fft's on the input signal. The options are (i.e. no window envelope), (the default), and . If the argument is used, then the fftout~ will echo its input signal to its output without performing a Fast Fourier transform. This allows you to output raw control signals from the pfft~ to the parent patcher. Note that when the option is used, overlap-adding is still being performed to create the output signal.|
|signal|| In left inlet: The real part of a signal that will be inverse-transformed back into the time domain.
In right inlet: The imaginary part of a signal that will be inverse-transformed back into the time domain.
Note that the real and imaginary inlets of fftout~ expect only the first half of the spectrum, as output by fftin~. This half-spectrum is called a spectral frame in pfft~ terminology.
|cartopol||Cartesian to Polar coordinate conversion|
|cartopol~||Signal Cartesian to Polar coordinate conversion|
|fft~||Fast Fourier transform|
|fftin~||Input for a patcher loaded by pfft~|
|fftinfo~||Report information about a patcher loaded by pfft~|
|frameaccum~||Compute "running phase" of successive phase deviation frames|
|framedelta~||Compute phase deviation between successive FFT frames|
|ifft~||Inverse fast Fourier transform|
|out||Message output for a patcher loaded by poly~ or pfft~|
|pfft~||Spectral processing manager for patchers|
|poltocar||Polar to Cartesian coordinate conversion|
|poltocar~||Signal Polar to Cartesian coordinate conversion|
|vectral~||Vector-based envelope follower|
|MSP Tutorial 25: Using the FFT||MSP Tutorial 25: Using the FFT|
|MSP Tutorial 26: Frequency Domain Signal Processing with pfft~||MSP Tutorial 26: Frequency Domain Signal Processing with pfft~|