S. E

Compressed Sensing: Sparse Recovery Theory, Algorithms and Practical Applications

Classical sampling theory fixes the rate at which a signal must be measured by its bandwidth alone. Compressed sensing replaces that criterion with one based on structure: a signal that is sparse in some known basis can be reconstructed exactly from a number of linear measurements proportional to its sparsity and only...