pylops_distributed.Smoothing1D

pylops_distributed.Smoothing1D(nsmooth, dims, dir=0, compute=(False, False), chunks=(None, None), todask=(False, False), dtype='float64')

1D Smoothing.

Apply smoothing to model (and data) along a specific direction of a multi-dimensional array depending on the choice of dir.

Parameters:

nsmooth : int

Lenght of smoothing operator (must be odd)

dims : tuple or int

Number of samples for each dimension

dir : int, optional

Direction along which smoothing is applied

compute : tuple, optional

Compute the outcome of forward and adjoint or simply define the graph and return a dask.array.array

chunks : tuple, optional

Chunk size for model and data. If provided it will rechunk the model before applying the forward pass and the data before applying the adjoint pass

todask : tuple, optional

Apply dask.array.from_array to model and data before applying forward and adjoint respectively

dtype : str, optional

Type of elements in input array.

Notes

Refer to pylops.basicoperators.Smoothing1D for implementation details.

Attributes:

shape : tuple

Operator shape

explicit : bool

Operator contains a matrix that can be solved explicitly (True) or not (False)

Examples using pylops_distributed.Smoothing1D

1D Smoothing