Orthogonal Matching Pursuit (OMP) Algorithm for Compressed Sensing Signal Reconstruction
Orthogonal Matching Pursuit (OMP) algorithm for compressed sensing signal reconstruction offers superior accuracy compared to Basis Pursuit (BP) algorithms, though at the cost of increased computational complexity. The implementation involves iterative selection of dictionary atoms and least squares projection for residual update.