A Variable Step-Size FXLMS Algorithm for Narrowband Active Noise Control

In this paper, a variable step-size filtered-x LMS (VSS-FXLMS) algorithm is proposed for a typical narrowband active noise control system. The new algorithm converges much faster than the conventional FXLMS algorithm does, and indicates a convergence rate quite similar to that of the filtered-x recu...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing Jg. 21; H. 2; S. 301 - 312
Hauptverfasser:	Huang, Boyan, Xiao, Yegui, Sun, Jinwei, Wei, Guo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway, NJ IEEE 01.02.2013 Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithm design and analysis Applied sciences Convergence Convergence rate Detection, estimation, filtering, equalization, prediction Exact sciences and technology Finite impulse response filter FXLMS FXRLS Information, signal and communications theory Least squares approximation Narrowband narrowband active noise control (NANC) Noise Signal and communications theory Signal processing algorithms Signal, noise Telecommunications and information theory variable step size Performance evaluation Infinite impulse response filter FXLMS FXRLS Narrow band noise Background noise Algorithm Computational complexity Variable step method Convergence speed Simulation Least squares method Convergence rate Stationary noise Active noise control narrowband active noise control (NANC) Least mean squares methods variable step size
ISSN:	1558-7916, 1558-7924
Online-Zugang:	Volltext
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