Sparse Signal Recovery is a technique used to reconstruct a signal from a limited set of measurements, under the assumption that the signal is sparse in some domain. This approach is fundamental in various fields such as compressed sensing, where it enables the efficient acquisition and reconstruction of signals that are sparse or compressible, significantly reducing the number of measurements required.