MATLAB Code for Minimum L1 Norm Optimization

MATLAB implementation for solving the L1-regularized least squares problem: min lambda*||x||_1 + ||A*x - y||_2, where ||x||_1 denotes the L1-norm and ||*||_2 represents the L2-norm. This algorithm is widely used in sparse component analysis, compressed sensing, and signal processing applications. The code demonstrates convex optimization techniques for sparse signal recovery.