Eigen Decomposition based Blind Source Separation

Blind Source Separation (BSS) is termed as the extraction of source signals from mixed data without or with little knowledge about the source signals. This work discusses different flavors of covariance based algorithms for blind source separation. Furthermore, another heuristic variant of the algorithm is proposed which is based on the variance of observed mixtures. Proposed algorithm is tested on simulated mixed signals for recovery of sources. Results of proposed algorithm are compared with the state of the art techniques in terms of accuracy and execution time.