pysteps.cascade.bandpass_filters.filter_gaussian#

pysteps.cascade.bandpass_filters.filter_gaussian(shape, n, l_0=3, gauss_scale=0.5, gauss_scale_0=0.5, d=1.0, normalize=True)#

Implements a set of Gaussian bandpass filters in logarithmic frequency scale.

Parameters

shape (int or tuple) – The dimensions (height, width) of the input field. If shape is an int, the domain is assumed to have square shape.
n (int) – The number of frequency bands to use. Must be greater than 2.
l_0 (int) – Central frequency of the second band (the first band is always centered at zero).
gauss_scale (float) – Optional scaling prameter. Proportional to the standard deviation of the Gaussian weight functions.
gauss_scale_0 (float) – Optional scaling parameter for the Gaussian function corresponding to the first frequency band.
d (scalar, optional) – Sample spacing (inverse of the sampling rate). Defaults to 1.
normalize (bool) – If True, normalize the weights so that for any given wavenumber they sum to one.

Returns

out – A dictionary containing the bandpass filters corresponding to the specified frequency bands.

Return type

dict

References