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《Signal Processing》 2004-06
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A Novel Variable Step Size LMS Adaptive Filtering Algorithm

Wang Minqiang Zheng Baoyu (Institute of Signal and Information Processing, Nanjing University of Posts and Telecommunications, Nanjing JiangSu 210003, China)  
This paper discusses about some adapting filtering algorithms of standard LMS, variable step size NLMS, improved SVSLMS and Combined LMS/F. Then we proposed a novel adaptive filtering algorithm with variable step size. The novel algorithm introduces a real scaling factor denoted by P and forgetting factor λi=exp(-i) (i=l,2,...,M-l) to produce the new variable step size μ (n) and use theμ (n) to update the filter coefficients in each iteration. Computer simulations demonstrate that in the scenarios of channel equalization, the proposed algorithm accomplishes faster convergence and steady smaller MSE than the LMS, improved SVSLMS, NLMS and Combined LMS/F algorithms with only a small increase of the computational complexity.
【CateGory Index】: TN713
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【References】
Chinese Journal Full-text Database 8 Hits
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Chinese Journal Full-text Database 4 Hits
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【Secondary Citations】
Chinese Journal Full-text Database 3 Hits
1 Ye Hua, Wu Boxiu(Dept.of Radio Engineering, South-East University, Nanjing);The Study on a Variable Step Size Adaptive Filtering Algorithm[J];Acta Electronica Sinica;1990-04
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