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International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing

RSFDGrC 2003: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing pp 462–465Cite as

Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

Abstract

This paper discusses a blind equalization technique for FIR channel system, that might be minimum phase or not, in digital communication. The proposed techniques consist of two parts. One is to estimate the original channel coefficients based on fourth-order cumulants of the channel output, the other is to employ fuzzy-ARTMAP neural network to model an inverse system for the original channel. In simulation studies, the performance of the proposed blind equalizer is compared with both linear and other neural basis equalizers.

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References

  1. Y. Sato, “A Method of Self-Recovering Equalization for Multilevel Amplitude Modulation Systems,” IEEE Trans. Commun, vol. COM-23, pp. 679–682, Jun. 1975.

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  2. F. B. Ueng and Y. T. Su, “Adaptive Blind Equalization Using Second and Higher Order Statistics,” IEEE J. Select. Areas Commun., vol. 13, pp. 132–140, Jan. 1995.

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  3. S. Mo and B. Shafai, “Blind Equalization Using Higher Order Cumulants and Neural Network,” IEEE Trans. Signal Processing, vol. 42, pp. 3209–3217, Nov. 1994.

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  4. S. Chen, B. Mulgrew, and P. M. Grant, “A Clustering Technique for Digital Communications Channel Equalization Using Radial Basis Function Networks,” IEEE Trans. Neural Networks, vol. 4, pp. 570–579, 1993.

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  5. G. A. Carpenter, S. Grossberg, N. Markuzon, J.H. Reynolds, and D.B. Rosen, “Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps,” IEEE Trans. Neural Networks, vol. 3, pp. 698–713, Sep. 1992.

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Author information

Authors and Affiliations

  1. School of Electronic & Information Eng., Kunsan National University, Korea

    Dong-kun Jee & Jung-sik Lee

  2. School of Computer Science and Engineering, Inha University, Korea

    Ju-Hong Lee

Authors
  1. Dong-kun Jee
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  2. Jung-sik Lee
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  3. Ju-Hong Lee
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Editor information

Editors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Guoyin Wang

  2. Department of Computer Science, Nanchang University, Nanchang, 330029, P.R. China

    Qing Liu

  3. Department of Computer Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada

    Yiyu Yao

  4. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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© 2003 Springer-Verlag Berlin Heidelberg

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Cite this paper

Jee, Dk., Lee, Js., Lee, JH. (2003). Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_78

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  • DOI: https://doi.org/10.1007/3-540-39205-X_78

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

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