decimate#

class diffsptk.Decimation(period, start=0, dim=-1)[source]#

See this page for details.

Parameters:

periodint >= 1: The decimation period, \(P\).
startint >= 0: The start point, \(S\).
dimint: The dimension along which to decimate the tensors.

forward(x)[source]#

Decimate the input signal.

Parameters:

xTensor [shape=(…, T, …)]: The input signal.

Returns:

outTensor [shape=(…, T/P-S, …)]: The decimated signal.

Examples

>>> x = diffsptk.ramp(9)
>>> decimate = diffsptk.Decimation(3, start=1)
>>> y = decimate(x)
>>> y
tensor([1., 4., 7.])

diffsptk.functional.decimate(x, period=1, start=0, dim=-1)[source]#

Decimate the input signal.

Parameters:

xTensor [shape=(…, T, …)]: The input signal.
periodint >= 1: The decimation period, \(P\).
startint >= 0: The start point, \(S\).
dimint: The dimension along which to decimate the tensors.

Returns:

outTensor [shape=(…, T/P-S, …)]: The decimated signal.

See also