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Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters

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Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters. / Montazeri, Allahyar; Poshtan, Javad.
Signal Processing, 2008. ICSP 2008. 9th International Conference on. ed. / B. Z. Yuan; Q. Q. Ruan; X. F. Tang. New York: IEEE, 2008. p. 219-222.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Montazeri, A & Poshtan, J 2008, Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters. in BZ Yuan, QQ Ruan & XF Tang (eds), Signal Processing, 2008. ICSP 2008. 9th International Conference on. IEEE, New York, pp. 219-222, 9th International Conference on Signal Processing, Beijing, 26/10/08. https://doi.org/10.1109/ICOSP.2008.4697110

APA

Montazeri, A., & Poshtan, J. (2008). Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters. In B. Z. Yuan, Q. Q. Ruan, & X. F. Tang (Eds.), Signal Processing, 2008. ICSP 2008. 9th International Conference on (pp. 219-222). IEEE. https://doi.org/10.1109/ICOSP.2008.4697110

Vancouver

Montazeri A, Poshtan J. Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters. In Yuan BZ, Ruan QQ, Tang XF, editors, Signal Processing, 2008. ICSP 2008. 9th International Conference on. New York: IEEE. 2008. p. 219-222 doi: 10.1109/ICOSP.2008.4697110

Author

Montazeri, Allahyar ; Poshtan, Javad. / Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters. Signal Processing, 2008. ICSP 2008. 9th International Conference on. editor / B. Z. Yuan ; Q. Q. Ruan ; X. F. Tang. New York : IEEE, 2008. pp. 219-222

Bibtex

@inproceedings{040822acecb54feb9fda4967bfd975a1,
title = "Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters",
abstract = "This study presents design and robust stability analysis of a novel version of RLS-type adaptive IIR filter in the modified filtered-x structure. The derivation of the algorithm is by transforming the original ANVC problem to an output-error identification problem without assuming that the slow adaptation condition holds. By considering fast adaptation of the filter weights and also the assumption that nonparametric uncertainty exists in the estimation of the secondary path, the stability of the proposed algorithm is analyzed using Lyapanov theory. In fact by introducing a time-varying scalar parameter in the adaptation, a sufficient condition based on the value of this parameter and the size of the uncertainty is derived",
author = "Allahyar Montazeri and Javad Poshtan",
year = "2008",
doi = "10.1109/ICOSP.2008.4697110",
language = "English",
isbn = "978-1-4244-2178-7",
pages = "219--222",
editor = "Yuan, {B. Z.} and Ruan, {Q. Q.} and Tang, {X. F.}",
booktitle = "Signal Processing, 2008. ICSP 2008. 9th International Conference on",
publisher = "IEEE",
note = "9th International Conference on Signal Processing ; Conference date: 26-10-2008 Through 29-10-2008",

}

RIS

TY - GEN

T1 - Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters

AU - Montazeri, Allahyar

AU - Poshtan, Javad

PY - 2008

Y1 - 2008

N2 - This study presents design and robust stability analysis of a novel version of RLS-type adaptive IIR filter in the modified filtered-x structure. The derivation of the algorithm is by transforming the original ANVC problem to an output-error identification problem without assuming that the slow adaptation condition holds. By considering fast adaptation of the filter weights and also the assumption that nonparametric uncertainty exists in the estimation of the secondary path, the stability of the proposed algorithm is analyzed using Lyapanov theory. In fact by introducing a time-varying scalar parameter in the adaptation, a sufficient condition based on the value of this parameter and the size of the uncertainty is derived

AB - This study presents design and robust stability analysis of a novel version of RLS-type adaptive IIR filter in the modified filtered-x structure. The derivation of the algorithm is by transforming the original ANVC problem to an output-error identification problem without assuming that the slow adaptation condition holds. By considering fast adaptation of the filter weights and also the assumption that nonparametric uncertainty exists in the estimation of the secondary path, the stability of the proposed algorithm is analyzed using Lyapanov theory. In fact by introducing a time-varying scalar parameter in the adaptation, a sufficient condition based on the value of this parameter and the size of the uncertainty is derived

U2 - 10.1109/ICOSP.2008.4697110

DO - 10.1109/ICOSP.2008.4697110

M3 - Conference contribution/Paper

SN - 978-1-4244-2178-7

SP - 219

EP - 222

BT - Signal Processing, 2008. ICSP 2008. 9th International Conference on

A2 - Yuan, B. Z.

A2 - Ruan, Q. Q.

A2 - Tang, X. F.

PB - IEEE

CY - New York

T2 - 9th International Conference on Signal Processing

Y2 - 26 October 2008 through 29 October 2008

ER -