The Block-Sparse Proportionate Second-Order Volterra Filtering Algorithms for Nonlinear Echo Cancellation
Abstract
Recently, a family of block-sparse proportionate adaptive filtering has been introduced for the block-sparse system identification. Here, we focus on the family of block-sparse proportionate second-order Volterra filtering algorithm for nonlinear echo cancellation. It is demonstrated that a multiple block-sparse system is naturally involved in the sparse adaptive Volterra filter, which could be accelerated by applying the block-sparse proportionate idea. Simulation results confirmed the performance improvement compared to both the previous proportionate second-order Volterra and the classical second-order Volterra filters.
Recommended Citation
J. Liu et al., "The Block-Sparse Proportionate Second-Order Volterra Filtering Algorithms for Nonlinear Echo Cancellation," Proceedings of the 2016 International Workshop on Acoustic Signal Enhancement (2016, Xi'an, China), Institute of Electrical and Electronics Engineers (IEEE), Sep 2016.
The definitive version is available at https://doi.org/10.1109/IWAENC.2016.7602945
Meeting Name
2016 International Workshop on Acoustic Signal Enhancement, IWAENC (2016: Sep. 13-16, Xi'an, China )
Department(s)
Electrical and Computer Engineering
Sponsor(s)
Wilkens Missouri Endowment
Keywords and Phrases
Acoustic waves; Echo suppression; Nonlinear filtering; Religious buildings; Signal filtering and prediction; Adaptive Volterra filters; Block sparse; Nonlinear echo cancellations; Second order Volterra filter; Second orders; Volterra; Volterra filter; Volterra filtering; Adaptive filters; Block-sparse system identification; Nonlinear echo cancellation; Proportionate adaptive filter
International Standard Book Number (ISBN)
978-1-5090-2007-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2016
Comments
Jianming Liu was a Ph.D. student in Missouri University of Science and Technology and part of his work was supported under the Wilkens Missouri Endowment.