scipy.signal.ricker#
- scipy.signal.ricker(points, a)[source]#
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()