Non-linear echo cancellation - a Bayesian approach

Braithwaite, Stephen and Addie, Ron (2009) Non-linear echo cancellation - a Bayesian approach. In: 2nd International Conference on Signal Processing and Communication Systems (ICSPCS 2008), 15-17 Dec 2008, Gold Coast, Australia.

Text (Documentation)

Download (398Kb)


Echo cancellation literature is reviewed, then a Bayesian model is introduced and it is shown how how it can be used to model and fit nonlinear channels. An algorithm for cancellation of echo over a nonlinear channel is developed and tested. It is shown that this nonlinear algorithm converges for both linear and nonlinear channels and is superior to linear echo cancellation for canceling an echo through a nonlinear echo-path channel.

Statistics for USQ ePrint 4956
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: No
Item Status: Live Archive
Additional Information: © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purpose or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 19 Feb 2009 05:46
Last Modified: 12 Jan 2015 01:26
Uncontrolled Keywords: echo cancellation; non linear; Baysean
Fields of Research : 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890106 Videoconference Services
Identification Number or DOI: 10.1109/ICSPCS.2008.4813715

Actions (login required)

View Item Archive Repository Staff Only