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

作　　者：伍彩云[1] 李娜 杜宁[1] WU Caiyun;LI Na;DU Ning(Shenyang Ligong University,Shenyang 110159,China)

机构地区：[1]沈阳理工大学装备工程学院,沈阳110159

出　　处：《沈阳理工大学学报》2024年第5期1-6,13,共7页Journal of Shenyang Ligong University

基　　金：国家自然科学基金项目(12202285);辽宁省教育厅高等学校基本科研项目(JYTMS20230207,JYTMS20230182)。

摘　　要：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.

关 键 词：有源噪声控制系统 小波变换 变步长最小均方算法 凸组合 

分 类 号：TN911.70[电子电信—通信与信息系统]