# TimeConvolve¶

class acoular.tprocess.TimeConvolve

Uniformly partitioned overlap-save method (UPOLS) for fast convolution in the frequency domain, see Wefers, 2015.

kernel = CArray(dtype=float, desc="Convolution kernel.")

Convolution kernel in the time domain. The second dimension of the kernel array has to be either 1 or match numchannels. If only a single kernel is supplied, it is applied to all channels.

result(num=128)

Python generator that yields the output block-wise. The source output is convolved with the kernel.

Parameters
numinteger

This parameter defines the size of the blocks to be yielded (i.e. the number of samples per block).

Returns
Samples in blocks of shape (num, numchannels).

The last block may be shorter than num.