一种提高稳态误差及收敛速度的回声消除算法

An echo cancellation algorithm for improving steady state error and convergence speed

以研究回声消除为背景,在分析比较了三种LMS自适应滤波器算法的基础上,提出了改进的LMS自适应滤波器算法。并利用Matlab进行仿真分析,通过绘制误差曲线、学习曲线,证明了改进后的算法在稳态误差以及收敛速度方面都优于之前的算法。该算法能较好地应用到IP电话中的回声消除的自适应滤波问题。

Based on the analysis of three LMS algorithms and the study of echo cancellation, an improved LMS algorithm is proposed. By plotting error curve and learning curve through MATLAB simulation, it is proved that the new algorithm is superior to the traditional LMS algorithm both in steady state error and convergence speed. So this is a better algorithm for adaptive filtering of echo cancellation in the IP telephone system.