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: dict: A dictionary containing the bandpass filters corresponding to the specified frequency bands.

References