基于小波变换的有源噪声控制算法研究

Study on Algorithms of Active Noise Control Basedon Wavelet Transform

在传统的有源噪声控制系统中,原始噪声信号是获得参考噪声信号的必要条件,当原始噪声信号的信息不可获知时,有源噪声控制系统失效。为解决该问题,设计基于小波变换的有源噪声控制系统,利用小波阈值法对含噪语音信号进行处理,得到与原始噪声信号相关的参考噪声信号。在此基础上,对传统的有源噪声控制算法LMS进行改进,提出基于Sigmoid函数的γSLMS算法和C-γSLMS凸组合算法,解决LMS算法无法同时兼顾收敛速度和稳态误差的问题,为解决有源噪声控制问题提供新的解决方案。

In the traditional active noise control s ystem,the original noise signal is necessary to ob-tain the reference noise signal,and the active nois e control system fails when the information of the original noise signal is not known.In order to solv e this problem,an active noise control system based on wavelet transform is designed to process t he noise-containing speech signal using the wavelet threshold method to obtain the reference no ise signal related to the original noise signal.On this basis,the traditional LMS algorithm for activ e noise control is improved,and theγSLMS algo-rithm based on the Sigmoid function and the C-γSLMS convex combination algorithm are proposed to solve the problem that the LMS algorithm cannot t ake into account the convergence speed and the steady state error at the same time.A new soluti on to the active noise control problem is a-chieved.