Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

A Fuzzy Adaptive Filter for State Estimation of Unknown Structural System and Evaluation for Sound Environment

  • Conference paper
Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

Included in the following conference series:

  • 1500 Accesses

Abstract

The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an unknown structure. Furthermore, the observations in the sound environment are often contain fuzziness due to several causes. In this paper, a method for estimating the specific signal for acoustic environment systems with unknown structure and fuzzy observation is proposed by introducing a fuzzy probability theory and a system model of conditional probability type. The effectiveness of the proposed theoretical method is confirmed by applying it to the actual problem of psychological evaluation for the sound environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Ohta, M., Ikuta, A.: An acoustic signal processing for generalized regression analysis with reduced information loss based on data observed with amplitude limitation. Acustica 81, 129–135 (1995)

    Google Scholar 

  2. Namba, S., Kuwano, S., Nakamura, T.: Rating of road traffic noise using the method of continuous judgement by category. J. Acousti. Soc. Japan 34, 29–34 (1978)

    Google Scholar 

  3. Kalman, R.E.: A new approach to linear filtering and prediction problem. Trans. ASME, Series D, J. Basic Engineering 82, 35–45 (1960)

    Google Scholar 

  4. Kalman, R.E., Buch, R.: New results in linear filtering and prediction theory. Trans. ASME, Series D, J. Basic Engineering 83, 95–108 (1961)

    Google Scholar 

  5. Kushner, H.J.: Approximations to optimal nonlinear filter. IEEE Trans. Autom. Control AC-12, 546–556 (1967)

    Article  Google Scholar 

  6. Ohta, M., Yamada, H.: New methodological trials of dynamical state estimation for the noise and vibration environmental system— Establishment of general theory and its application to urban noise problems. Acustica 55, 199–212 (1984)

    MATH  Google Scholar 

  7. Ikuta, A., Ohta, M.: A state estimation method of impulsive signal using digital filter under the existence of external noise and its application to room acoustics. IEICE Trans. Fundamentals E75-A, 988–995 (1992)

    Google Scholar 

  8. Eyhhoff, P.: System identification: parameter and state estimation. John Wiley & Sons, Chichester (1974)

    Google Scholar 

  9. Suzuki, Y., Kunitomo, N.: Bayes statistics and its application, pp. 50–52. Tokyo University Press (1989)

    Google Scholar 

  10. Zadeh, L.A.: Probability measures of fuzzy events. J. Math. Anal. Appl. 23, 421–427 (1968)

    Article  MATH  MathSciNet  Google Scholar 

  11. Ohta, M., Koizumi, T.: General treatment of the response of a nonlinear rectifying device to a stationary random input. IEEE Trans. Inf. Theory IT-14, 595–598 (1968)

    Article  MATH  Google Scholar 

  12. Cramer, H.: Mathematical methods of statistics, vol. 133, pp. 221–227. Princeton University Press, Princeton (1951)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Prefectural University of Hiroshima, Hiroshima, 734-8558, Japan

    Akira Ikuta & Yegui Xiao

  2. NTT Data Chugoku, Hiroshima, 732-086, Japan

    Hisako Masuike

  3. Hiroshima University, Emeritus, Japan

    Mitsuo Ohta

Authors
  1. Akira Ikuta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hisako Masuike
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yegui Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mitsuo Ohta
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ikuta, A., Masuike, H., Xiao, Y., Ohta, M. (2005). A Fuzzy Adaptive Filter for State Estimation of Unknown Structural System and Evaluation for Sound Environment. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_145

Download citation

  • DOI: https://doi.org/10.1007/11539506_145

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation