Research on adaptive noise canceller of an improvement LMS algorithm

Author

Shengqian, Ma ; Guowei, Xu ; Zhifeng, Ma ; Shuping, Wei ; Manhong, Fan

Author_Institution

Coll. of Phys. & Electron. Eng., Northwest Normal Univ., Lanzhou, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

1611

Lastpage

1614

Abstract

The paper presents an improved LMS algorithm of variable step length based on Kwong least mean-square algorithm. The algorithm proposed is used for a adaptive noise canceller. The sinusoidal signal and audio signal with Gauss white noise were simulated in noise cancellation system on the MATLAB platform. It has fast convergence and good noise suppression ability than traditional algorithms. Finally, an adaptive noise cancellation system employed DSP chip TMS320VC5509A, audio decoder chip TLV320AIC23 and related peripheral circuit was constructed; Using CCS3.3, and through the hardware emulator download link, the new algorithm improved LMS was used. It shows a good result.

Keywords

audio signals; decoding; digital signal processing chips; interference suppression; least mean squares methods; white noise; CCS3.3; DSP chip; Gauss white noise; Kwong least mean-square; LMS algorithm; MATLAB; TLV320AIC23; TMS320VC5509A; adaptive noise canceller; audio decoder chip; audio signal; hardware emulator download link; noise suppression; peripheral circuit; sinusoidal signal; variable step length; Adaptive filters; Algorithm design and analysis; Convergence; Least squares approximation; Noise cancellation; Signal processing algorithms; Adaptive filter; Adaptive noise cancelling; DSP; LMS algorithm; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6067870

Filename

6067870