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
Link To Document