pylops.signalprocessing.Sliding2D¶

pylops.signalprocessing.
Sliding2D
(Op, dims, dimsd, nwin, nover, tapertype='hanning', design=False)[source]¶ 2D Sliding transform operator.
Apply a transform operator
Op
repeatedly 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 in a sliding window fashion. Both model and data should be 2dimensional arrays in nature as they are internally reshaped and interpreted as 2dimensional arrays. Each patch contains in fact a portion of the array in the first dimension (and the entire second dimension).This operator can be used to perform local, overlapping transforms (e.g.,
pylops.signalprocessing.FFT2
orpylops.signalprocessing.Radon2D
) of 2dimensional arrays.Note
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
nwin
andnover
, it is recommended to usedesign=True
if unsure about the choicedims
and use the number of windows printed on screen to define such input parameter.Parameters:  Op :
pylops.LinearOperator
Transform operator
 dims :
tuple
Shape of 2dimensional model. Note that
dims[0]
should be multiple of the model size of the transform in the first dimension dimsd :
tuple
Shape of 2dimensional data
 nwin :
int
Number of samples of window
 nover :
int
Number of samples of overlapping part of window
 tapertype :
str
, optional Type of taper (
hanning
,cosine
,cosinesquare
orNone
) design :
bool
, optional Print number of sliding window (
True
) or not (False
)
Returns:  Sop :
pylops.LinearOperator
Sliding operator
Raises:  ValueError
Identified number of windows is not consistent with provided model shape (
dims
).
 Op :