Sliding1D(Op, dim, dimd, nwin, nover, tapertype='hanning', design=False)¶
1D Sliding transform operator.
Apply a transform operator
Oprepeatedly to slices of the model vector in forward mode and slices of the data vector in adjoint mode. More specifically, in forward mode the model vector is divided into slices, each slice is transformed, and slices are then recombined in a sliding window fashion.
This operator can be used to perform local, overlapping transforms (e.g.,
pylops.signalprocessing.FFT) on 1-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 use
design=Trueif unsure about the choice
dimsand use the number of windows printed on screen to define such input parameter.
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 can be displayed using
design=Truewhile defining the best sliding window approach.
- Op :
- dim :
Shape of 1-dimensional model.
- dimd :
Shape of 1-dimensional data
- nwin :
Number of samples of window
- nover :
Number of samples of overlapping part of window
- tapertype :
Type of taper (
- design :
Print number of sliding window (
True) or not (
- Sop :
Identified number of windows is not consistent with provided model shape (
- Op :