pysteps.noise.fftgenerators.generate_noise_2d_ssft_filter#
- pysteps.noise.fftgenerators.generate_noise_2d_ssft_filter(F, randstate=None, seed=None, **kwargs)#
Function to compute the locally correlated noise using a nested approach.
- Parameters:
F (array-like) – A filter object returned by
pysteps.noise.fftgenerators.initialize_nonparam_2d_ssft_filter()orpysteps.noise.fftgenerators.initialize_nonparam_2d_nested_filter(). The filter is a four-dimensional array containing the 2d fourier filters distributed over a 2d spatial grid.randstate (mtrand.RandomState) – Optional random generator to use. If set to None, use numpy.random.
seed (int) – Value to set a seed for the generator. None will not set the seed.
overlap (float) – Percentage overlap [0-1] between successive windows (default 0.2).
win_fun ({'hann', 'tukey', None}) – Optional tapering function to be applied to the input field, generated with
pysteps.utils.tapering.compute_window_function()(default ‘tukey’).fft_method (str or tuple) – A string or a (function,kwargs) tuple defining the FFT method to use (see “FFT methods” in
pysteps.utils.interface.get_method()). Defaults to “numpy”.
- Returns:
N – A two-dimensional numpy array of non-stationary correlated noise.
- Return type:
array-like