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:

points : int

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

a : scalar

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()