一种改进的声回声抵消算法

Improved acoustic echo cancellation algorithm

NL MS(normalized least mean square)算法是是自适应信号处理中应用最广泛的算法之一 ,它的最大缺点是收敛速度慢 ,对非平稳信号自适应能力差。为提高声回声抵消算法的收敛速度 ,采取了将语音分析中常用的线性预测作为前置滤波器的方法来减少参考信号的相关性 ,采用步长控制的方法来提高收敛速度 ,同时保持了 NL MS算法稳定性好和算法简单的优点。最后在模拟环境下对算法进行了测试 ,证明了比 NL

The NLMS algorithm is one of the most widely used algorithms in adaptive signal processing. Its main disadvantage is that its convergent rate is slow and it is affected by the input signal. The convergent rate and adaptability of the NLMS algorithm are improved with a new structure that uses LPC processing as a pre filter to minimize the input signal correlation and presents a method for step size control to speed up the convergence rate, while preserving the steady state performance and simplicity of the NLMS algorithm. A computer simulation verifies the efficiency of the new algorithm.