- pylops.signalprocessing.Patch2D(Op, dims, dimsd, nwin, nover, nop, tapertype='hanning', scalings=None, name='P')[source]#
2D Patch transform operator.
Apply a transform operator
Oprepeatedly to patches of the model vector in forward mode and patches of the data vector in adjoint mode. More specifically, in forward mode the model vector is divided into patches, each patch is transformed, and patches are then recombined together. Both model and data are internally reshaped and interpreted as 2-dimensional arrays: each patch contains a portion of the array in both the first and second dimension.
This operator can be used to perform local, overlapping transforms (e.g.,
pylops.signalprocessing.Radon2D) on 2-dimensional arrays.
The shape of the model has to be consistent with the number of windows for this operator not to return an error. As the number of windows depends directly on the choice of
nover, it is recommended to first run
patch2d_designto obtain the corresponding
dimsand number of windows.
Depending on the choice of nwin and nover as well as the size of the data, sliding windows may not cover the entire data. The start and end indices of each window will be displayed and returned with running
Shape of 2-dimensional model. Note that
dimsshould be multiple of the model size of the transform in their respective dimensions
Shape of 2-dimensional data
Number of samples of window
Number of samples of overlapping part of window
Size of model in the transformed domain
Type of taper (
Set of scalings to apply to each patch. If
None, no scale will be applied
New in version 2.0.0.
Name of operator (to be used by
Identified number of windows is not consistent with provided model shape (