MATLAB Implementation of Matching Pursuit (MP) Algorithm for Signal Sparse Decomposition

The Matching Pursuit (MP) algorithm achieves signal sparse decomposition using projection-based methodology, iteratively selecting dictionary atoms that best match signal residuals through orthogonal projections.

Classical OMP Algorithm for Signal Sparse Decomposition

This implementation provides a complete realization of the classical Orthogonal Matching Pursuit (OMP) algorithm for signal sparse decomposition, featuring optimized computational efficiency and parallel processing capabilities.