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 : ndarray

Cubic spline coefficients.