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A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE)

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Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues (ICIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5226))

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Abstract

A new variable step-size(VSS) LMS adaptive algorithm based on the convergence ratio of MSE and the correlation between reference signal and output error is proposed in the paper. Theory analyzing and simulation results prove that the new algorithm improves the convergent speed of general LMS algorithm and optimizes the trace ability of time-varying system and stable state maladjustment; and comparing to the standard LMS algorithm, the increase of computation is finite.

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References

  1. Dimitris, G.M., Vinay, K.I., Stephen, M.K.: Statistical and Adaptive Signal Processing, pp. 499–501. Publishing House of Electronics Industry, Beijing (2003)

    Google Scholar 

  2. Widrow, B.: E Walach Adaptive Inverse Control. Xi’an Jiaotong University Publishing House, Xi’an (2000)

    Google Scholar 

  3. Sock, D.T.M.: On the Convergence Behavior of the LMS and the Normalized LMS Algorithms. IEEE trans. on signal processing 41(9), 2811–2825 (1993)

    Article  Google Scholar 

  4. Tang, J., Zhang, J.S.: An Improved Variable Step Size LMS Adaptive Filtering Algorithm and its Analysis. In: The ICCT 2006, vol. 11, pp. 27–30 (2006)

    Google Scholar 

  5. Kwong, R.H., Johnston, E.W.: A Variable Step Size LMS Algorithm. IEEE Trans on Signal Processing 40, 1633–1642 (1992)

    Article  MATH  Google Scholar 

  6. Zhang, Y.G., Li, N., Jonathon, A.C.: A New Gradient Based Variable Step-Size LMS Algorithm. In: 8th International Conference on Signal Processing, pp. 16–20 (2006)

    Google Scholar 

  7. Gan, W.S.: Designing A Fuzzy Step Size LMS Algorithm. IEE Image Signal Process 144(5), 261–266 (1997)

    Article  MathSciNet  Google Scholar 

  8. Li, S.T., Wan, H.: A New Variable-Step-Size LMS Algorithm and Its Application in FM Broadcast-Based Passive Radar Multi-Path Interference Cancellation. In: 2007 Second IEEE Conference on Industrial Electronics and Applications, vol. 2, pp. 2124–2128 (2007)

    Google Scholar 

  9. Li, Y.: A Modified VS LMS Algorithm. In: 9th International Conference on Advanced Communication Technology, pp. 615–618 (2007)

    Google Scholar 

  10. Wang, Y., Zhang, C., Wang, Z.H.: A New Variable Step Size LMS Algorithm with Application to Active Noise Control. In: IEEE International Conference on Acoustics, Speech and Signal Processing – Proceedings, vol. 5, pp. 573–575 (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China

    Hong Wan, Guangting Li, Xianming Wang & Chai Jing

Authors
  1. Hong Wan
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  2. Guangting Li
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  3. Xianming Wang
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  4. Chai Jing
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Editor information

Editors and Affiliations

  1. Department of Automation, University of Science and Technology of China, 230026, Hefei, Anhui, China

    De-Shuang Huang

  2. Applied Computational Intelligence Laboratory, P.O. Box

    Donald C. Wunsch II

  3. Arlington, USA

    Daniel S. Levine

  4. Graduate School of Electrical Engineering, University of Ulsan, Korea, San 29, Mugeo-Dong, 680 - 749, Nam-Ku, Ulsan, Korea

    Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Wan, H., Li, G., Wang, X., Jing, C. (2008). A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE). In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_138

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  • DOI: https://doi.org/10.1007/978-3-540-87442-3_138

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87440-9

  • Online ISBN: 978-3-540-87442-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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