IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/781856.html
   My bibliography  Save this article

Convergence Analysis of EFOP Estimate Based on Frequency Domain Smoothing

Author

Listed:
  • Yulai Zhang
  • Kueiming Lo
  • Yang Su

Abstract

The classic methods for frequency domain transfer function estimation such as the Empirical Transfer Function Estimate (ETFE) and cross spectral method do not work well when the noise signal is complex. Combines the time domain and frequency domain methods the Empirical Frequency-domain Optimal Parameter (EFOP) Estimate was presented. It could improve the precision of system's transfer function estimation and identification efficiency. The convergence of the EFOP based on frequency domain smoothing is investigated in this paper. The transfer function is weighted by a frequency window and the GPE criterion is extended to the integral form. Convergence rate and consistent properties for the EFOP estimate are given. Finally, some simulation results are included to illustrate the advantage of the EFOP based smoothing method.

Suggested Citation

  • Yulai Zhang & Kueiming Lo & Yang Su, 2013. "Convergence Analysis of EFOP Estimate Based on Frequency Domain Smoothing," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-8, June.
  • Handle: RePEc:hin:jnljam:781856
    DOI: 10.1155/2013/781856
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2013/781856.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/JAM/2013/781856.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2013/781856?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnljam:781856. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.