scipy.signal.ricker

scipy.signal.ricker(points, a)

Return a Ricker wavelet, also known as the “Mexican hat wavelet”.

It models the function:

A (1 - x^2/a^2) exp(-x^2/2 a^2),

where A = 2/sqrt(3a)pi^1/4.

Parameters

pointsint

Number of points in vector. Will be centered around 0.

ascalar

Width parameter of the wavelet.

Returns

vector(N,) ndarray

Array of length points in shape of ricker curve.

Examples

>>> from scipy import signal
>>> import matplotlib.pyplot as plt

>>> points = 100
>>> a = 4.0
>>> vec2 = signal.ricker(points, a)
>>> print(len(vec2))
100
>>> plt.plot(vec2)
>>> plt.show()