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一种改进的变步长LMS自适应算法及分析 被引量:2

An Improved Variable Step-size LMS Adaptive Algorithm and its Analysis
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摘要 现有的变步长LMS算法中,大都采用建立步长因子与误差信号的函数关系的方法,以提高算法的收敛速度和跟踪性能,但由于未考虑输入信号对算法性能的影响,使得当输入信号发生变化后,稳态误差明显增大。为此,在现有算法的基础上,引入了输入信号因子,提出了一种改进算法。该算法可根据瞬时误差和输入信号来调整步长因子,使算法不仅能保持较高的收敛速度和跟踪性能,还可在输入信号变化的情况下,保证较小的稳态误差。理论分析及仿真实验表明新算法的性能优于现有算法。 Present variable step -size LMS algorithms generally establish a functional relationship between the step -size and the error signal, in order to enhance the convergence and track performance of them. However, they don't take the influence introduced by the input signal into account. So when the input signal changes, the steady state error will increase obviously. This paper basing on some former variable step- size LMS adaptive filtering algorithms, proposes an improved algorithm which introduces the input signal factor and modifies the step - size according to the instantaneous error signal and the inputsignal. The improved algorithm not only ensures the small steady state error. Simulations than that of former algorithms. has relative convergence and track performance, but show that the improved algorithm performance is better
出处 《微处理机》 2007年第3期53-55,58,共4页 Microprocessors
关键词 变步长LMS算法 收敛速度 自适应滤波 Variable step -size LMS algorithm Convergence speed Adaptive filtering algorithm
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参考文献6

  • 1覃景繁,欧阳景正.一种新的变步长LMS自适应滤波算法[J].数据采集与处理,1997,12(3):171-174. 被引量:281
  • 2叶华,吴伯修.变步长自适应滤波算法的研究[J].电子学报,1990,18(4):63-70. 被引量:73
  • 3S Haykin.Adaptive Filtering Theory,Forth Edition[M].Prentice-Hall,1985.
  • 4PS R Diniz.Adaptive Filtering:Algorithms and Practical Implementation.Setend Edition[M].Kluwer Academic Publishers.2002.
  • 5S C Douglas and T.H-Y Meng.Normalized data nonlinearities for LMS adaptation[J].IEEE Transactions On Signal Processing,1994,42(6):1352-1365.
  • 6Z Ramadan and A Poularikas.Performance Analysis of a New Variable Step-Size LMS Algorithm with Error Nonlinearities[C].Atlanta:the 36th IEEE Southeastern Symposium on System Theory (SSST),March 2004:384-388.

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共引文献324

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  • 1李邵明,郭平.软件可靠性模型选择的理论研究[J].计算机工程与科学,2006,28(z2):59-61. 被引量:3
  • 2王敏强,郑宝玉.一种新的可变步长LMS自适应滤波算法[J].信号处理,2004,20(6):613-617. 被引量:25
  • 3STRINGFELLOW C, ANDREWS A. An Empirical Method for Selec- ting Software Reliability Growth Models[ J]. Journal of Empirical Software Engineering, 2002,7 ( 4 ) : 319 - 343.
  • 4马疯疯 陈自力.软件可靠性定量评估过程研究.同济大学学报,2002,30(10):1183-1185.
  • 5MICHAEL R L. Handbook of Software Reliability Engineering[ M]. New York : IEEE Computer Society Press, McGrawHill, 1996.
  • 6丁玉美,阔永红.数字信号处理--时域离散随机信号处理[M].西安:西安电子科技大学出版社,2003.
  • 7LYU M R, NIKORA A. Applying Reliability Models More Effectively[J]. IEEE Software,1992,9 (4) :45 -52.
  • 8KARUNANITHI N,WHITLEY D, MALAIYA Y K. Using Neural Networks in Reliability Prediction [ J ]. IEEE Trans. on Software Engineering, 1992:53 - 59.
  • 9董航,孙洪.一种变阶数自适应滤波算法[J].系统工程与电子技术,2009,31(1):15-17. 被引量:4
  • 10邹丰忠,徐仁佐.软件可靠性多模型综合评估[J].同济大学学报(自然科学版),2002,30(10):1183-1185. 被引量:13

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