linear_intpl

class diffsptk.LinearInterpolation(upsampling_factor)

Perform linear interpolation.

Note that this is not related to linear_intpl in the C/C++ version of SPTK, but is instead intended for interpolation of filter coefficients in digital filtering.

Parameters:

upsampling_factorint >= 1

The upsampling factor, \(P\).

forward(x)

Interpolate filter coefficients.

Parameters:

xTensor [shape=(B, N, D) or (N, D) or (N,)]

The filter coefficients.

Returns:

outTensor [shape=(B, NxP, D) or (NxP, D) or (NxP,)]

The upsampled filter coefficients.

Examples

>>> x = diffsptk.ramp(2)
>>> x
tensor([0., 1., 2.])
>>> linear_intpl = diffsptk.LinearInterpolation(2)
>>> y = linear_intpl(x)
>>> y
tensor([0.0000, 0.5000, 1.0000, 1.5000, 2.0000, 2.0000])

diffsptk.functional.linear_intpl(x, upsampling_factor=80)

Interpolate filter coefficients.

Parameters:

xTensor [shape=(B, N, D) or (N, D) or (N,)]

The filter coefficients.

upsampling_factorint >= 1

The upsampling factor, \(P\).

Returns:

yTensor [shape=(B, NxP, D) or (NxP, D) or (NxP,)]

The upsampled filter coefficients.

See also

poledf zerodf