MATLAB Implementation of Regularized Orthogonal Matching Pursuit (ROMP) Algorithm

This user-friendly MATLAB source code provides a complete implementation of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm. The ROMP algorithm enables efficient data compression and signal reconstruction by iteratively selecting the most correlated atoms from a dictionary while maintaining orthogonalization constraints. The implementation includes a well-structured MATLAB function that can be easily integrated into your projects, accepting input parameters such as measurement vectors, sensing matrices, and sparsity levels. The code features optimized matrix operations using MATLAB's built-in linear algebra functions for improved computational efficiency. Additionally, the package contains detailed documentation explaining the algorithm's mathematical foundation, including the regularization step that ensures stable atom selection, along with usage examples demonstrating proper parameter configuration and output interpretation for various signal processing applications.