data_operations.chunkedfft#

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Summary#

Returns FFTs of chunks of data for overlap-save. Coordinates assumed dimensionless, as in DFT

Signature#

def chunkedfft(data, fftsize, wl, padmode = 'left', wraparound = True)

Input variables#
Name	Type	Default	Description
`data`			Array with the input data (time domain)
`fftsize`			Size of FFT for each sub-chunk
`wl`			Length of window (time domain)
`padmode`		‘left’	How to pad the data (useful for various choices of window weights and time conventions)
`wraparound`		True	Flag indicating whether to copy data into the padded part to mimic a full FFT

Output variables#

Return annotation	Docstring type	Description
`None`		n_chunk x nrfft(fftsize) array of rFFTs of chunks

Docstring#

Returns FFTs of chunks of data for overlap-save. Coordinates assumed
dimensionless, as in DFT
:param data: Array with the input data (time domain)
:param fftsize: Size of FFT for each sub-chunk
:param wl: Length of window (time domain)
:param padmode:
    How to pad the data (useful for various choices of window weights and
    time conventions)
:param wraparound:
    Flag indicating whether to copy data into the padded part to mimic a
    full FFT
:return: n_chunk x nrfft(fftsize) array of rFFTs of chunks