pysteps.noise.fftgenerators.generate_noise_2d_ssft_filter¶
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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.
Returns: - N : array-like
A two-dimensional numpy array of non-stationary correlated noise.
Other Parameters: - overlap : float
Percentage overlap [0-1] between successive windows (default 0.2).
- win_type : {‘hanning’, ‘flat-hanning’}
Optional tapering function to be applied to X, generated with
pysteps.noise.fftgenerators.build_2D_tapering_function()(default ‘flat-hanning’).- fft_method : str or tuple
A string or a (function,kwargs) tuple defining the FFT method to use (see
pysteps.utils.fft.get_method()). Defaults to “numpy”.