scipy.signal.ricker

scipy.signal.ricker(points, a)

Also known as the “mexican hat wavelet”, models the function: A ( 1 - x^2/a^2) exp(-t^2/a^2), where A = 2/sqrt(3a)pi^1/3

Parameters :

a: scalar :

Width parameter of the wavelet.

points: int, optional :

Number of points in vector. Default is 10*a Will be centered around 0.

Returns :

———– :

vector: 1-D ndarray :

array of length points in shape of ricker curve.

Examples :

——– :

>>> import matplotlib.pyplot as plt :

>>> points = 100 :

>>> a = 4.0 :

>>> vec2 = ricker(a,points) :

>>> print len(vec2) :

100 :

>>> plt.plot(vec2) :

>>> plt.show() :