Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Firstly, the user will need to generate pruning tables. This can be done through the pruning_tables.cpp script. The user will need to run it with the command line argument either G0, G1, G2, and G3.