pylops.utils.wavelets.klauder#

pylops.utils.wavelets.klauder(t, f=(5.0, 20.0), taper=None)[source]#

Klauder wavelet

Create a Klauder wavelet given time axis t and standard deviation std. This wavelet mimics the autocorrelation of a linear frequency modulated sweep.

Parameters

tnumpy.ndarray: Time axis (positive part including zero sample)
ftuple, optional: Frequency sweep
taperfunc, optional: Taper to apply to wavelet (must be a function that takes the size of the window as input

Returns

wnumpy.ndarray: Wavelet
tnumpy.ndarray: Symmetric time axis
wcenterint: Index of center of wavelet

Examples using `pylops.utils.wavelets.klauder`#

Wavelets