delay#

class diffsptk.Delay(start: int, keeplen: bool = False, dim: int = -1)[source]#

See this page for details.

Parameters:

startint: The start point, \(S\). If negative, advance the signal.
keeplenbool: If True, the output has the same length of the input.
dimint: The dimension along which to delay the tensors.

forward(x: Tensor) → Tensor[source]#

Delay the input signal.

Parameters:

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

Returns:

outTensor [shape=(…, T-S, …)] or [shape=(…, T, …)]: The delayed signal.

Examples

>>> x = diffsptk.ramp(1, 3)
>>> delay = diffsptk.Delay(2)
>>> y = delay(x)
>>> y
tensor([0., 0., 1., 2., 3.])

diffsptk.functional.delay(x: Tensor, start: int = 0, keeplen: bool = False, dim: int = -1) → Tensor[source]#

Delay the input signal.

Parameters:

xTensor [shape=(…, T, …)]: The input signal.
startint: The start point, \(S\). If negative, advance the signal.
keeplenbool: If True, the output has the same length of the input.
dimint: The dimension along which to delay the tensors.

Returns:

outTensor [shape=(…, T-S, …)] or [shape=(…, T, …)]: The delayed signal.