Sparse Reconstruction in Compressed Sensing with Block-Based Approach
This study addresses the sparse reconstruction problem in compressed sensing by introducing a block-based strategy to the original Matching Pursuit (MP) algorithm, where the atom dictionary is partitioned into blocks to evaluate algorithm performance through systematic testing.