# 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:
    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()