Blind Signal Separation Algorithm Based on Quasi-Newton

This paper proposes a new blind signal separation algorithm which uses joint diagonalization of correlation matrices as the cost function,and separates source signal based on quasi-Newton’s DFP method.The algorithm improves the convergence rate.Validity and performance of the proposed algorithm are demonstrated by extensive computer simulations.