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Static and Dynamic Methods for Fuzzy Signal Processing of Sound and Electromagnetic Environment Based on Fuzzy Observations

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Computational Intelligence (IJCCI 2014)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 620))

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Abstract

The real observed data in sound and electromagnetic waves often contain fuzziness due to confidence limitations in sensing devices, permissible errors in the experimental data, and quantizing errors in digital observations. In this study, by paying attention to the specific signal in the real sound and electromagnetic environment, which exhibits complex probability distribution forms, a signal processing method is considered for estimating the probability distribution and the fluctuation wave form of the specific signal based on the observation with fuzziness. First, a static signal processing method is considered for predicting the probability distribution of electromagnetic wave leaked from several kinds of electronic information equipment in the real working environment based on the observed fuzzy data of the sound. Next, a dynamic state estimation method is proposed for estimating only the specific signal by removing background noise based on the fuzzy observation data in the sound environment under the existence of background noise. The effectiveness of the theoretically proposed static and dynamic signal processing methods is experimentally confirmed by applying those to real data in the sound and electromagnetic environment.

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Author information

Authors and Affiliations

  1. Department of Management Information Systems, Prefectural University of Hiroshima, 1-1-71 Ujina-higashi, Minaki-ku, Hiroshima, 734-8558, Japan

    Akira Ikuta & Hisako Orimoto

Authors
  1. Akira Ikuta
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  2. Hisako Orimoto
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Corresponding author

Correspondence to Akira Ikuta .

Editor information

Editors and Affiliations

  1. Ingenería Informática, Escuela Técnica Superior de, Granada, Spain

    Juan Julian Merelo

  2. aSEEB-ISR-IST, Technical University of Lisbon (IST), Lisbon, Portugal

    Agostinho Rosa

  3. Facultad de Informática, University of Murcia, Murcia, Spain

    José M. Cadenas

  4. University of Coimbra, Coimbra, Portugal

    António Dourado

  5. Images, Signals and Intelligence, University PARIS-EST Créteil (UPEC), Créteil, France

    Kurosh Madani

  6. Instituto Politécnico de Setúbal (IPS), Setúbal, Portugal

    Joaquim Filipe

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Ikuta, A., Orimoto, H. (2016). Static and Dynamic Methods for Fuzzy Signal Processing of Sound and Electromagnetic Environment Based on Fuzzy Observations. In: Merelo, J.J., Rosa, A., Cadenas, J.M., Dourado, A., Madani, K., Filipe, J. (eds) Computational Intelligence. IJCCI 2014. Studies in Computational Intelligence, vol 620. Springer, Cham. https://doi.org/10.1007/978-3-319-26393-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-26393-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26391-5

  • Online ISBN: 978-3-319-26393-9

  • eBook Packages: EngineeringEngineering (R0)

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