Adaptive algorithm for noisy autoregressive signals

Authors
Citation
Wx. Zheng, Adaptive algorithm for noisy autoregressive signals, MATH PROB E, 6(6), 2001, pp. 543-556
Citations number
10
Categorie Soggetti
Engineering Mathematics
Journal title
MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN journal
1024123X → ACNP
Volume
6
Issue
6
Year of publication
2001
Pages
543 - 556
Database
ISI
SICI code
1024-123X(2001)6:6<543:AAFNAS>2.0.ZU;2-L
Abstract
This paper presents a new type of improved least-squares (ILS) algorithm fo r adaptive parameter estimation of autoregressive (AR) signals from noisy o bservations. Unlike the previous ILS based methods, the developed algorithm can give consistent parameter estimates in a very direct manner that it do es not involve dealing with an augmented noisy AR model. The new algorithm is demonstrated to outperform the previous ILS based methods in terms of it s improved numerical efficiency.