Title :
Design the Adaptive Noise Canceller Based on an Improved LMS Algorithm and Realize It by DSP
Author :
Yanhong, Xu ; Ze, Zhang
Author_Institution :
Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Abstract :
An adaptive noise canceller based on an improved LMS (least-mean-squares) algorithm has been designed by DSP. The algorithm is introduced and simulated in MATLAB, then realized on the digital signal processor TMS320C 6713. A 50HZ sine wave, used as the referenced input, traces the noise of signal until it is eliminated. Then the expected signal has been obtained. The experiment results indicate that the adaptive noise canceller can remove the 50HZ noise of signal conveniently and effectively, so it has the ideal filter characteristics of narrow-band.
Keywords :
interference suppression; least mean squares methods; signal processing; DSP; MATLAB; TMS320C 6713; adaptive noise canceller; frequency 50 Hz; improved LMS algorithm; least-mean-squares algorithm; Adaptive filters; Algorithm design and analysis; Digital signal processing; Least squares approximation; Noise cancellation; Signal processing algorithms; Digital Signal Processor (DSP); adaptive algorithm; noise cancellation;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4673-0470-2
DOI :
10.1109/ICICTA.2012.42
