pylops.signalprocessing.Sliding1D¶
-
pylops.signalprocessing.
Sliding1D
(Op, dim, dimd, nwin, nover, tapertype='hanning', design=False)[source]¶ 1D Sliding transform operator.
Apply a transform operator
Op
repeatedly 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.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.Warning
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=True
while defining the best sliding window approach.Parameters: - Op :
pylops.LinearOperator
Transform operator
- dim :
tuple
Shape of 1-dimensional model.
- dimd :
tuple
Shape of 1-dimensional 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 :