TimeConvolve¶

class acoular.tprocess.TimeConvolve¶

Bases: TimeInOut

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.