SciPy

scipy.signal.qspline1d

scipy.signal.qspline1d(signal, lamb=0.0)[source]

Compute quadratic spline coefficients for rank-1 array.

Find the quadratic 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, 6.0, 1.0]/ 8.0 .

Parameters:

signal : ndarray

A rank-1 array representing samples of a signal.

lamb : float, optional

Smoothing coefficient (must be zero for now).

Returns:

c : ndarray

Cubic spline coefficients.