`scipy.signal._signaltools:_freq_domain_conv`

source: /scipy/signal/_signaltools.py :487

Signature

   def     _freq_domain_conv (    xp    ,    in1    ,    in2    ,    axes    ,    shape    ,    calc_fast_len    =  False     )

Summary

Convolve two arrays in the frequency domain.

Extended Summary

This function implements only base the FFT-related operations. Specifically, it converts the signals to the frequency domain, multiplies them, then converts them back to the time domain. Calculations of axes, shapes, convolution mode, etc. are implemented in higher level-functions, such as fftconvolve and oaconvolve. Those functions should be used instead of this one.

Parameters

in1 : array_like: First input.
in2 : array_like: Second input. Should have the same number of dimensions as in1.
axes : array_like of ints: Axes over which to compute the FFTs.
shape : array_like of ints: The sizes of the FFTs.
calc_fast_len : bool, optional: If True, set each value of shape to the next fast FFT length. Default is False, use axes as-is.

Returns

out : array: An N-dimensional array containing the discrete linear convolution of in1 with in2.

Aliases

scipy.signal._signaltools._freq_domain_conv