Title :
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
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;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067870
