Technical Program

Paper Detail

Paper:SPTM-P8.10
Session:Adaptive Filters II
Time:Thursday, May 20, 13:00 - 15:00
Presentation: Poster
Topic: Signal Processing Theory and Methods: Adaptive Systems & Filtering
Title: LS DETECTION GUIDED NLMS ESTIMATION OF SPARSE SYSTEMS
Authors: John Homer; University of Queensland 
 Iven Mareels; University of Melbourne 
Abstract: In various estimation problems the system being estimated may be represented by a sparse parameter vector, such that only a 'small' number of the vector elements are 'significant' or 'active'. In this paper we propose an NLMS estimator which incorporates a least squares based active parameter criterion; such that NLMS adaptation is applied only to those system parameters detected as being active. This results in a significant improvement in convergence rates, as compared to the standard NLMS estimator. Importantly, for sparse systems, the computational cost of the newly proposed detection guided NLMS estimator is only slightly greater than that of the standard NLMS estimator.
 
           Back


Home -||- Organizing Committee -||- Technical Committee -||- Technical Program -||- Plenaries
Paper Submission -||- Special Sessions -||- ITT -||- Paper Review -||- Exhibits -||- Tutorials
Information -||- Registration -||- Travel Insurance -||- Housing -||- Workshops

©2015 Conference Management Services, Inc. -||- email: webmaster@icassp2004.org -||- Last updated Wednesday, April 07, 2004