摘要
目前,自适应滤波算法是信号处理最热门的研究课题之一。语音信号处理是数字信号处理领域中的热点问题。根据自适应滤波器的理论研究,在不同的信噪比和不同的语音信号采样率下,分别对同一语音信号进行LMS自适应滤波仿真。通过改变采样率和滤波器阶数,并讨论了LMS自适应滤波算法在窄频带和宽频带干扰的问题。由此提出了在多个采样速率下LMS自适应算法,对多速率LMS自适应算法原理进行介绍。并在不同信噪比的情况下,对同一段信号进行多速率LMS自适应滤波仿真,结果与LMS自适应滤波算法结果比较。显然,多速率LMS自适应滤波算法在良好的降噪效果下,对于宽频带和窄频带干扰来说,该算法既简单又能容易实现。
Adaptive filtering algorithm is one of the most active research topics in signal processing at present.Speech signal processing is the hot issue in the field of digital signal processing.Based on theoretical research of adaptive filter,the work simulated least mean square error adaptive filtering algorithm under different signal-to-noise ratios,spreading to speech signal sequences of different sampling rates.By changing sampling rate factors and filter orders,the work discussed adaptive filtering problems of LMS algorithm under narrowband and broadband interference.After the work puts forward a LMS adaptive algorithm based on multi-rate.It introduces the principle of LMS adaptive algorithm based on multi-rate.And it simulated LMS adaptive algorithm based on multi-rate under different signal-to-noise ratios.And it＇s results compared with the results of LMS adaptive algorithm.Obviously,with good noise reduction effect,this algorithm is simple and easy to implement.
作者
任晓敏
李东新
Ren Xiaomin;Li Dongxin(Computer and Information Institute,Hehai University Nanjing 211100,China)
出处
《国外电子测量技术》
2018年第9期68-73,共6页
Foreign Electronic Measurement Technology
作者简介
任晓敏，1991年出生，在读硕士，研究方向为信号处理。E-mail：1187771854@qq．com;李东新，1964年出生，主要研究方向为现代电子技术及应用、数字信号处理及DSP应用、GSP及空间定位技术应用和UWB超宽带脉冲技术及应用等。E-mail：ldx64@sina．com
