cupyx.scipy.signal.cspline1d#

cupyx.scipy.signal.cspline1d(signal, lamb=0.0)[source]#

Compute cubic spline coefficients for rank-1 array.

Find the cubic spline coefficients for a 1-D signal assuming mirror-symmetric boundary conditions. To obtain the signal back from the spline representation mirror-symmetric-convolve these coefficients with a length 3 FIR window [1.0, 4.0, 1.0]/ 6.0 .

Parameters:

  • signal (ndarray) – A rank-1 array representing samples of a signal.

  • lamb (float, optional) – Smoothing coefficient, default is 0.0.

Returns:

c – Cubic spline coefficients.

Return type:

ndarray

See also

cspline1d_eval

Evaluate a cubic spline at the new set of points.