• DocumentCode
    3388533
  • Title

    Convergence Analysis of Hirschman Optimal Transform (HOT) LMS Adaptive Filter

  • Author

    Alkhouli, Osama ; DeBrunner, Victor E.

  • fYear
    2007
  • fDate
    26-29 Aug. 2007
  • Firstpage
    126
  • Lastpage
    130
  • Abstract
    We present a general convergence analysis of the recently introduced HOT LMS Adaptive filter and show that the autocorrelation matrix in the HOT domain is asymptotically Block diagonal and the HOT LMS adjusts the learning rate of each block to improve the convergence speed of the adaptive filter as compared to LMS. The theoretical findings were verified through numerical calculations and simulations.
  • Keywords
    Adaptive equalizers; Adaptive filters; Analytical models; Autocorrelation; Convergence; Energy measurement; Frequency measurement; Least squares approximation; Measurement uncertainty; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on
  • Conference_Location
    Madison, WI, USA
  • Print_ISBN
    978-1-4244-1198-6
  • Electronic_ISBN
    978-1-4244-1198-6
  • Type

    conf

  • DOI
    10.1109/SSP.2007.4301232
  • Filename
    4301232
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3388533