Adaptive Multiple Sub-Filters Based Stereophonic Acoustic Echo Cancellation

Abstract

In this paper we present the Multiple Sub-Filters (MSF) parallel structure, Least Mean Square (LMS) adaptive algorithm, for Stereophonic Acoustic Echo Cancellation (SAEC). The convergence performance of the MSF parallel structure has been studied for two types of algorithms namely; different error algorithm and common error algorithm and has been compared with conventional echo canceller via computer simulations. Simulation results show that MSF with both adaptation algorithm provide better convergence speed as compared to the conventional SAEC realized by a Single Long Filter (SLF).