A fast convergence median LMS algorithm

In this paper, a split-path median LMS algorithm is proposed. By reducing the eigenvalue spread of the input correlation matrix, the algorithm not only improves the convergence performance but also enhances the tracking behaviour of abrupt signal edges. The simulation results for line enhancement are presented and comparisons are made with LMS and median LMS algorithms.<<ETX>>