A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm

S. C. Chan; Y. J. Chu; K. M. Tsui; Z. G. Zhang

doi:10.1109/ISCAS.2011.5937515

A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm

S. C. Chan^*
, Y. J. Chu
, K. M. Tsui
, Z. G. Zhang

^*Corresponding author for this work

The University of Hong Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The transform domain normalized least mean squares (TDNLMS) algorithm is an efficient adaptive algorithm, which offers fast convergence speed with a reasonably low arithmetic complexity. However, its convergence speed is usually limited by the fixed step-size so as to achieve a low desired misadjustment. In this paper a new switch-mode noise-constrained TDNLMS (SNC-TDNLMS) algorithm is proposed. It employs a maximum step-size mode in initial convergence and a noise-constrained mode afterwards to improve the convergence speed and steady-state performance. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean square error (EMSE). Based on the theoretical results, an automatic threshold selection scheme for mode switching is developed. Computer simulations are conducted to show the effectiveness of the proposed algorithm and verify the theoretical results.

Original language	English
Title of host publication	2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
Pages	117-120
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2011.5937515
State	Published - 2011
Externally published	Yes
Event	2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 - Rio de Janeiro, Brazil Duration: 15 May 2011 → 18 May 2011

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Conference

Conference	2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
Country/Territory	Brazil
City	Rio de Janeiro
Period	15/05/11 → 18/05/11

Access to Document

10.1109/ISCAS.2011.5937515

Cite this

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title = "A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm",

abstract = "The transform domain normalized least mean squares (TDNLMS) algorithm is an efficient adaptive algorithm, which offers fast convergence speed with a reasonably low arithmetic complexity. However, its convergence speed is usually limited by the fixed step-size so as to achieve a low desired misadjustment. In this paper a new switch-mode noise-constrained TDNLMS (SNC-TDNLMS) algorithm is proposed. It employs a maximum step-size mode in initial convergence and a noise-constrained mode afterwards to improve the convergence speed and steady-state performance. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean square error (EMSE). Based on the theoretical results, an automatic threshold selection scheme for mode switching is developed. Computer simulations are conducted to show the effectiveness of the proposed algorithm and verify the theoretical results.",

author = "Chan, \{S. C.\} and Chu, \{Y. J.\} and Tsui, \{K. M.\} and Zhang, \{Z. G.\}",

year = "2011",

doi = "10.1109/ISCAS.2011.5937515",

language = "英语",

isbn = "9781424494736",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

pages = "117--120",

booktitle = "2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011",

note = "2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 ; Conference date: 15-05-2011 Through 18-05-2011",

}

Chan, SC, Chu, YJ, Tsui, KM & Zhang, ZG 2011, A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm. in 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011., 5937515, Proceedings - IEEE International Symposium on Circuits and Systems, pp. 117-120, 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011, Rio de Janeiro, Brazil, 15/05/11. https://doi.org/10.1109/ISCAS.2011.5937515

A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm. / Chan, S. C.; Chu, Y. J.; Tsui, K. M. et al.
2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011. 2011. p. 117-120 5937515 (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm

AU - Chan, S. C.

AU - Chu, Y. J.

AU - Tsui, K. M.

AU - Zhang, Z. G.

PY - 2011

Y1 - 2011

N2 - The transform domain normalized least mean squares (TDNLMS) algorithm is an efficient adaptive algorithm, which offers fast convergence speed with a reasonably low arithmetic complexity. However, its convergence speed is usually limited by the fixed step-size so as to achieve a low desired misadjustment. In this paper a new switch-mode noise-constrained TDNLMS (SNC-TDNLMS) algorithm is proposed. It employs a maximum step-size mode in initial convergence and a noise-constrained mode afterwards to improve the convergence speed and steady-state performance. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean square error (EMSE). Based on the theoretical results, an automatic threshold selection scheme for mode switching is developed. Computer simulations are conducted to show the effectiveness of the proposed algorithm and verify the theoretical results.

AB - The transform domain normalized least mean squares (TDNLMS) algorithm is an efficient adaptive algorithm, which offers fast convergence speed with a reasonably low arithmetic complexity. However, its convergence speed is usually limited by the fixed step-size so as to achieve a low desired misadjustment. In this paper a new switch-mode noise-constrained TDNLMS (SNC-TDNLMS) algorithm is proposed. It employs a maximum step-size mode in initial convergence and a noise-constrained mode afterwards to improve the convergence speed and steady-state performance. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean square error (EMSE). Based on the theoretical results, an automatic threshold selection scheme for mode switching is developed. Computer simulations are conducted to show the effectiveness of the proposed algorithm and verify the theoretical results.

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SN - 9781424494736

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

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BT - 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011

T2 - 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011

Y2 - 15 May 2011 through 18 May 2011

ER -

A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm

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