DocumentCode :
3247395
Title :
Multichannel lattice structure for adaptive noise cancellation [speech processing applications]
Author :
Xie, Qing ; Kwan, H.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
fYear :
2004
fDate :
20-22 Oct. 2004
Firstpage :
326
Lastpage :
329
Abstract :
In this paper, a multichannel adaptive lattice structure (MCLS) for canceling the noise over a nonlinear transmission channel is presented. The presented structure applies to situations in which the reference signal and noisy primary signal are collected simultaneously. The coefficients of a multichannel multiple regression transversal filter are modified adaptively according to the backward prediction error vectors generated from the multichannel adaptive lattice predictors. This multichannel adaptive noise cancellation procedure involves the NLMS adaptive algorithm. The performance of MCLS for different type of transmission channels, different type of reference inputs, and different type of noise-free primary inputs is examine analytically. The new approach is experimentally shown to have better noise cancellation performance than the existing single-channel adaptive noise cancellation algorithm over a nonlinear transmission channel, especially in a low input SNR situation.
Keywords :
Volterra series; adaptive filters; adaptive signal processing; lattice filters; least mean squares methods; signal denoising; speech processing; transversal filters; MCLS; NLMS adaptive algorithm; adaptive filters; adaptive lattice predictors; adaptive noise cancellation; backward prediction error vectors; low input SNR conditions; multichannel adaptive lattice structure; multichannel multiple regression transversal filter; nonlinear transmission channel; simultaneously collected signal/noise; speech processing; truncated Volterra series expansion; Adaptive algorithm; Adaptive filters; Additive noise; Computer hacking; Lattices; Noise cancellation; Nonlinear systems; Signal to noise ratio; Speech processing; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
Print_ISBN :
0-7803-8687-6
Type :
conf
DOI :
10.1109/ISIMP.2004.1434066
Filename :
1434066
Link To Document :
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