Skip to main content
SpringerLink
Log in

Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters

  • Conference paper
  • First Online:
Discovery Science (DS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1721))

Included in the following conference series:

Abstract

This paper proposes a method for detecting geomagnetic sudden commencement (SC) from a geomagnetic horizontal (H) component by using lifting wavelet filters. Lifting wavelet filters are biorthogonal wavelet filers containing free parameters. Our method is to learn such free parameters based on some training signals which contain the SC. The learnt wavelet filters have the feature of training signals. Applying such wavelet filters to the test signals, we can detect the time when SC phenomena occurred.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. K. Kuzume, “Design theory of wavelets with free parameters”, Doctoral Thesis, Kyushu University, 1999.

    Google Scholar 

  2. K. Kuzume, K. Niijima, “Design of optimal lifting wavelet filters for data compression”, Proceeding of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Pittsburgh, pp. 337–340, 1998.

    Google Scholar 

  3. K. Kuzume, K. Niijima, “Optimization of lifting wavelet filters for ECG data compression”, Proceeding of International Conference on Signal Processing, Beijing, pp. 249–252, 1998.

    Google Scholar 

  4. K. Niijima, K. Kuzume, “Wavelets with convolution-type orthogonality conditions”, IEEE Trans. Signal Processing, vol. 47, pp. 408–421, 1999.

    Article  MATH  MathSciNet  Google Scholar 

  5. E. J. Stollnitz, T. D. Derose, D. H. Salesin, Wavelets for Computer Graphics, Morgan Kaufman Publishers, Inc. San Francisco, California, 1996.

    Google Scholar 

  6. W. Sweldens, “The lifting scheme: A custom design construction of biorthogonal wavelets”, Appl. Comp. Harmon. Anal, vol. 3(2), pp. 186–200, 1996.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Informatics, Kyushu University, Kasuga, 816-8580, Japan

    Shigeru Takano, Teruya Minamoto, Hiroki Arimura & Koichi Niijima

  2. Graduate School of Science, Kyoto University, Kyoto, 606-8502, Japan

    Toshihiko Iyemori & Tohru Araki

Authors
  1. Shigeru Takano
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Teruya Minamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hiroki Arimura
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Koichi Niijima
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Toshihiko Iyemori
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Tohru Araki
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan

    Setsuo Arikawa

  2. Graduate School of Media and Governance, Keio University, 5322 Endoh, Fujisawa-shi, Kanagawa, 252-8520, Japan

    Koichi Furukawa

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Takano, S., Minamoto, T., Arimura, H., Niijima, K., Iyemori, T., Araki, T. (1999). Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters. In: Arikawa, S., Furukawa, K. (eds) Discovery Science. DS 1999. Lecture Notes in Computer Science(), vol 1721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46846-3_22

Download citation

  • DOI: https://doi.org/10.1007/3-540-46846-3_22

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66713-1

  • Online ISBN: 978-3-540-46846-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation