Adaptive Filter by using Sparse Partial Update Extended Correlation LMS Algorithm in the Double-Talk Condition

Echo path estimation in echo canceling for teleconference system is a problem in double-talk condition. The correlation function based algorithms were defined by the authors to solve this problem. In this paper, in order to improve the convergence speed of correlation function based algorithm, we propose a new modified proportionate step-size adaptation method, and then implement it into frequency domain extended correlation LMS algorithm (FECLMS). The new algorithm is called proportionate frequency domain extended correlation LMS algorithm (PFECLMS). The computer simulation results support the theoretical findings and verify the robustness of the proposed algorithm in the double-talk situation.