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/a)**2) * exp(-0.5*(x/a)**2),

where A = 2/(sqrt(3*a)*(pi**0.25)).

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()