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Filtering of Colored Noise for Signal Enhancement

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Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3046))

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Abstract

This paper suggests an enhancement approach for signal corrupted by additive colored noise signal. The well known FIR structure filter is adopted in order to obtain the noise-suppressed estimate of the desired signal. It is shown that the suggested approach has the quick estimation ability for desired signal. It is also shown that the estimate of the desired signal is separated from the additive colored noise signal when the additive colored noise signal is nearly constant on the window. In addition, when the additive colored noise signal itself is treated as an additional desired signal that should be estimated, its estimate is shown to be separated from the state term for the original desired signal. Via numerical simulations on a military signal, the performance of the suggested approach is evaluated by the comparison with that of the existing Kalman filtering approach.

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Author information

Authors and Affiliations

  1. School of Information Technology, Korea Univ. of Tech. & Edu, Chonan, 330-708, Korea

    Myung Eui Lee

  2. Mobile Platform Lab, Digital Media R&D Center, Samsung Electronics Co., Ltd, Suwon City, 442-742, Korea

    Pyung Soo Kim

Authors
  1. Myung Eui Lee
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  2. Pyung Soo Kim
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Editor information

Editors and Affiliations

  1. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  5. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  6. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

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© 2004 Springer-Verlag Berlin Heidelberg

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Lee, M.E., Kim, P.S. (2004). Filtering of Colored Noise for Signal Enhancement. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24768-5_32

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  • DOI: https://doi.org/10.1007/978-3-540-24768-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22060-2

  • Online ISBN: 978-3-540-24768-5

  • eBook Packages: Springer Book Archive

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