DocumentCode :
82385
Title :
Enhanced Adaptive Volterra Filtering by Automatic Attenuation of Memory Regions and Its Application to Acoustic Echo Cancellation
Author :
Azpicueta-Ruiz, Luis A. ; Zeller, Marcus ; Figueiras-Vidal, Anibal R. ; Kellermann, Walter ; Arenas-Garcia, Jeronimo
Author_Institution :
Dept. of Signal Theor. & Commun., Univ. Carlos III de Madrid, Leganes, Spain
Volume :
61
Issue :
11
fYear :
2013
fDate :
1-Jun-13
Firstpage :
2745
Lastpage :
2750
Abstract :
This paper presents a novel scheme for nonlinear acoustic echo cancellation based on adaptive Volterra Filters with linear and quadratic kernels, which automatically prefers those diagonals contributing most to the output of the quadratic kernel with the goal of minimizing the overall mean-square error. In typical echo cancellation scenarios, not all coefficients will be equally relevant for the modeling of the nonlinear echo, but coefficients close to the main diagonal of the second-order kernel will describe most of the nonlinear echo distortions, such that not all diagonals need to be implemented. However, it is difficult to decide the most appropriate number of diagonals a priori, since there are many factors that influence this decision, such as the energy of the nonlinear echo, the shape of the room impulse response, or the step size used for the adaptation of kernel coefficients. Our proposed scheme incorporates adaptive scaling factors that control the influence of each group of adjacent diagonals contributing to the quadratic kernel output. An appropriate selection of these factors serves to emphasize or neglect diagonals of the model as required by the present situation. We provide adaptation rules for these factors based on previous works on combination of adaptive filters, and comprehensive simulations showing the reduced gradient noise reached by the new echo canceller.
Keywords :
acoustic signal processing; adaptive filters; echo suppression; mean square error methods; nonlinear filters; signal denoising; transient response; adaptation rules; adaptive scaling factors; enhanced adaptive volterra filtering; gradient noise reduction; kernel coefficient adaptation; linear kernel; mean-square error minimization; memory region automatic attenuation; nonlinear acoustic echo cancellation; nonlinear echo distortions; nonlinear echo energy; quadratic kernel output; room impulse response; second-order kernel; Acoustic distortion; Attenuation; Echo cancellers; Kernel; Noise; Nonlinear acoustics; Nonlinear distortion; Combination of filters; Volterra filters; combination of kernels; nonlinear acoustic echo cancellation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2013.2251340
Filename :
6475193
Link To Document :
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