Statistical Sparse Decomposition (SSDP) for Underdetermined Blind Source Separation

MATLAB simulation program for Statistical Sparse Decomposition (SSDP) underdetermined blind source separation. This implementation enables source signal recovery using only observed signals when the number of receiving antennas is fewer than the number of source signals, featuring sparse representation and statistical modeling approaches.

Second-Order Underdetermined Blind Source Separation for Sparse Signals

Estimation of Mixing Matrix Utilizing Hyperplane Normal Vectors for Underdetermined Blind Separation of Second-Order Sparse Signals

Underdetermined Blind Source Separation Algorithm for Sparse Variables

Underdetermined Blind Source Separation Algorithm for Sparse Variables with Implementation Approaches