scipy.signal.cspline1d

scipy.signal.cspline1d(signal, lamb=0.0)

Compute cubic spline coefficients for rank-1 array.

Description:

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 .

Inputs:

signal – a rank-1 array representing samples of a signal. lamb – smoothing coefficient (default = 0.0)

Output:

c – cubic spline coefficients.