Acoular 24.07 documentation


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class acoular.sources.PointSourceConvolve

Bases: PointSource

Class to blockwise convolve an arbitrary source signal with a spatial room impulse response.

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.

start_t = Enum(0.0, desc='signal start time')

Start time of the signal in seconds, defaults to 0 s.

start = Enum(0.0, desc='sample start time')

Start time of the data aquisition at microphones in seconds, defaults to 0 s.

prepadding = Enum(None, desc='Behaviour for negative time indices.')

Signal behaviour for negative time indices, i.e. if start < :attr:start_t. loop take values from the end of signal.signal() array. zeros set source signal to zero, advisable for deterministic signals. defaults to loop.

up = Enum(None, desc='upsampling factor')

Upsampling factor, internal use, defaults to 16.


Python generator that yields the output at microphones block-wise.

numinteger, defaults to 128

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

Samples in blocks of shape (num, numchannels).

The last block may be shorter than num.

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