• DocumentCode
    1807833
  • Title

    A new iterative method for solving total least squares problem

  • Author

    Kang, ByungHoon ; Jung, SangMok ; Park, PooGyeon

  • Author_Institution
    POSTECH, Pohang, South Korea
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1466
  • Lastpage
    1469
  • Abstract
    In this paper, we propose a new method to solve TLS problem adaptively, which uses the estimate of the generalized Rayleigh quotient, for adaptive FIR filtering. An approximation method to estimate the generalized Rayleigh quotient and its recursive version are presented and compared. The computer simulation results show that the proposed algorithm outperforms the RLS algorithm in adaptive system identification with noisy input circumstances and the recursive structure is superior to the direct approximation in the sense of stability.
  • Keywords
    FIR filters; adaptive filters; approximation theory; iterative methods; least squares approximations; recursive filters; RLS algorithm; adaptive FIR filtering; adaptive system identification; approximation method; computer simulation; direct approximation; generalized Rayleigh quotient; iterative method; noisy input circumstances; recursive structure; recursive version; total least squares problem; Adaptive systems; Approximation algorithms; Approximation methods; Finite impulse response filter; Noise measurement; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2011 8th Asian
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-487-9
  • Electronic_ISBN
    978-89-956056-4-6
  • Type

    conf

  • Filename
    5899289