Smoothed L0 (SL0) Algorithm for Compressed Sensing

The SL0 algorithm is a novel sparse reconstruction technique in compressed sensing that approximates the L0-norm optimization problem using smooth functions like Gaussian functions, transforming NP-hard problems into smooth convex optimization problems. Based on our tests, SL0 demonstrates significantly higher computational efficiency compared to traditional algorithms like OMP and BP, while maintaining good accuracy, though it has slightly lower noise tolerance.