1- """Implementations of cascade decompositions for separating two-dimensional
2- images into multiple spatial scales.
1+ """Methods for decomposing two-dimensional images into multiple spatial scales.
32
43The methods in this module implement the following interface:
54
6- decomposition_xxx(X, filter, optional arguments )
5+ decomposition_xxx(X, filter, **kwargs )
76
87where X is the input field and filter is a dictionary returned by a filter
9- method implemented in bandpass_filters.py. The output of each method is a
10- dictionary with the following key-value pairs:
8+ method implemented in bandpass_filters.py. Optional parameters can be passed in
9+ the keyword arguments. The output of each method is a dictionary with the
10+ following key-value pairs:
1111
1212+-------------------+----------------------------------------------------------+
1313| Key | Value |
@@ -49,7 +49,7 @@ def decomposition_fft(X, filter, **kwargs):
4949 Two-dimensional array containing the input field. All values are required
5050 to be finite.
5151 filter : dict
52- A filter returned by any method implemented in bandpass_filters.py.
52+ A filter returned by a method implemented in bandpass_filters.py.
5353
5454 Other Parameters
5555 ----------------
@@ -60,8 +60,8 @@ def decomposition_fft(X, filter, **kwargs):
6060 Returns
6161 -------
6262 out : ndarray
63- A dictionary described in the module documentation. The parameter n is
64- determined from the filter (see bandpass_filters.py).
63+ A dictionary described in the module documentation. The number of cascade
64+ levels is determined from the filter (see bandpass_filters.py).
6565
6666 """
6767 MASK = kwargs .get ("MASK" , None )
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