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改进的变步长LMS自适应滤波算法及其仿真 被引量:5

An Improved Variable Step-Size LMS Adaptive Filtering Algorithm and Simulation
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摘要 对变步长的(LMS)自适应算法进行了讨论,本文提出了一种新的变步长LMS自适应滤波算法,并用计算机进行了仿真,结果表明该算法在误差接近于零时步长具有缓慢的变化的特性,并且在低信噪比的环境下有更好的抗噪性能,滤波效果更好。 This paper discusses the variable step size least mean square ( LMS ) adaptive filtering algorithm. A new LMS adaptive filtering algorithm with variable step size is proposed. The simulation results show that when algorithm's error approach to zero, it has the characteristics of a slow change and better anti-noise property in low signal noise ratio environment, also the results of filtering is better.
出处 《自动化技术与应用》 2012年第9期10-13,共4页 Techniques of Automation and Applications
关键词 自适应滤波 变步长 LMS算法 adaptive filtering variable step size least mean square algorithm
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  • 1吴光弼,祝琳瑜.一种变步长LMS自适应滤波算法[J].电子学报,1994,22(1):55-61. 被引量:35
  • 2罗小东,贾振红,王强.一种新的变步长LMS自适应滤波算法[J].电子学报,2006,34(6):1123-1126. 被引量:126
  • 3覃景繁,韦岗.基于S型函数的变步长LMS自适应滤波算法[J].无线电工程,1996,26(4):44-47. 被引量:40
  • 4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
  • 5Darken C, Moody J E. Towards faster stochastic gradient search [C]//Moody J E, Hanson S J, Lippmann R P. Advances in Neural Information Processing Systems 4, San Mateo, CA: Morgan Kaufmann, 1992 : 1009 - 1016.
  • 6Irusta U, Ruiz de Gauna S, Ruiz J, et al. A variable step size LMS algorithm for the suppression of the CPR artifact from a VF signal [J]. Computers in Cardiology, 2005 : 179 - 182.
  • 7Tang J, Zhang S J, Wang J. An improved variable step size LMS adaptive filtering algorithm and its analysis[C]//Proc, of International Conference on Communication Technology, Guilin, 2006 : 1 - 4.
  • 8Zhang Y G, Chambers J A, Wang W W, et al. A new variable stepsize LMS algorithm with robustness to nonstationary noise[C]// Proc. of International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, 2007: 1349-1352.
  • 9Aboulnasr T, Mayyas K. A robust variable step-size LMS-type algorithm: analysis and simulations[J]. IEEE Trans. on Sig nal Processing, 1997, 45(3): 631- 639.
  • 10Simon Haykin. Adaptive filter theory[M]. 4th ed. Englewood Cliffs, NJ.. Prentice Hall, 2002.

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