Multichannel filtered-inverse least mean square Algorithms - Development and analysis

Dragana Nikolić; Branislav Vuksanović

doi:10.1109/MLSP.2007.4414327

Multichannel filtered-inverse least mean square Algorithms - Development and analysis

Dragana Nikolić^*, Branislav Vuksanović

^*Corresponding author for this work

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

Abstract

This paper describes the algorithms for multichannel active noise control systems based on adaptive filteredinverse least-mean-square algorithm (FILMS). General mathematical model of multichannel FILMS (MFILMS) algorithm is developed based on the cross-cancelling structure of the inverse plant used in the algorithm and the update equations for this setup are derived. This approach is robust but its computational load grows rapidly with the number of implemented channels. Methods to develop more efficient realizations using partial updates of the adaptive Alters in the system and suppression of the cross-cancellation effects in the inverse plant are described and analyzed in this paper. Simulations are performed to demonstrate the effectiveness of each method and computational loadings are estimated for each derived version of multichannel algorithm.

Original language	English
Title of host publication	Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP
Pages	324-329
Number of pages	6
DOIs	https://doi.org/10.1109/MLSP.2007.4414327
Publication status	Published - 2 Jan 2008
Event	17th IEEE International Workshop on Machine Learning for Signal Processing - Thessaloniki, Greece Duration: 27 Aug 2007 → 29 Aug 2007

Conference

Conference	17th IEEE International Workshop on Machine Learning for Signal Processing
Abbreviated title	MLSP-2007
Country/Territory	Greece
City	Thessaloniki
Period	27/08/07 → 29/08/07

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10.1109/MLSP.2007.4414327

Cite this

@inproceedings{23b4971ae13a4221a2ccb5a0960a2ba0,

title = "Multichannel filtered-inverse least mean square Algorithms - Development and analysis",

abstract = "This paper describes the algorithms for multichannel active noise control systems based on adaptive filteredinverse least-mean-square algorithm (FILMS). General mathematical model of multichannel FILMS (MFILMS) algorithm is developed based on the cross-cancelling structure of the inverse plant used in the algorithm and the update equations for this setup are derived. This approach is robust but its computational load grows rapidly with the number of implemented channels. Methods to develop more efficient realizations using partial updates of the adaptive Alters in the system and suppression of the cross-cancellation effects in the inverse plant are described and analyzed in this paper. Simulations are performed to demonstrate the effectiveness of each method and computational loadings are estimated for each derived version of multichannel algorithm.",

author = "Dragana Nikoli{\'c} and Branislav Vuksanovi{\'c}",

year = "2008",

month = jan,

day = "2",

doi = "10.1109/MLSP.2007.4414327",

language = "English",

isbn = "1424415667",

pages = "324--329",

booktitle = "Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP",

note = "17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007 ; Conference date: 27-08-2007 Through 29-08-2007",

}

Nikolić, D & Vuksanović, B 2008, Multichannel filtered-inverse least mean square Algorithms - Development and analysis. in Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP., 4414327, pp. 324-329, 17th IEEE International Workshop on Machine Learning for Signal Processing, Thessaloniki, Greece, 27/08/07. https://doi.org/10.1109/MLSP.2007.4414327

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T1 - Multichannel filtered-inverse least mean square Algorithms - Development and analysis

AU - Nikolić, Dragana

AU - Vuksanović, Branislav

PY - 2008/1/2

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N2 - This paper describes the algorithms for multichannel active noise control systems based on adaptive filteredinverse least-mean-square algorithm (FILMS). General mathematical model of multichannel FILMS (MFILMS) algorithm is developed based on the cross-cancelling structure of the inverse plant used in the algorithm and the update equations for this setup are derived. This approach is robust but its computational load grows rapidly with the number of implemented channels. Methods to develop more efficient realizations using partial updates of the adaptive Alters in the system and suppression of the cross-cancellation effects in the inverse plant are described and analyzed in this paper. Simulations are performed to demonstrate the effectiveness of each method and computational loadings are estimated for each derived version of multichannel algorithm.

AB - This paper describes the algorithms for multichannel active noise control systems based on adaptive filteredinverse least-mean-square algorithm (FILMS). General mathematical model of multichannel FILMS (MFILMS) algorithm is developed based on the cross-cancelling structure of the inverse plant used in the algorithm and the update equations for this setup are derived. This approach is robust but its computational load grows rapidly with the number of implemented channels. Methods to develop more efficient realizations using partial updates of the adaptive Alters in the system and suppression of the cross-cancellation effects in the inverse plant are described and analyzed in this paper. Simulations are performed to demonstrate the effectiveness of each method and computational loadings are estimated for each derived version of multichannel algorithm.

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U2 - 10.1109/MLSP.2007.4414327

DO - 10.1109/MLSP.2007.4414327

M3 - Conference contribution

AN - SCOPUS:48149085334

SN - 1424415667

SN - 9781424415663

SP - 324

EP - 329

BT - Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

T2 - 17th IEEE International Workshop on Machine Learning for Signal Processing

Y2 - 27 August 2007 through 29 August 2007

ER -

Multichannel filtered-inverse least mean square Algorithms - Development and analysis

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