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.