Technical Program

Paper Detail

Paper:SPTM-L3.4
Session:Analysis of Adaptive Filter Algorithms
Time:Wednesday, May 19, 10:30 - 10:50
Presentation: Lecture
Topic: Signal Processing Theory and Methods: Adaptive Systems & Filtering
Title: A SIMPLE MODEL FOR THE EFFECT OF NORMALIZATION ON THE CONVERGENCE RATE OF ADAPTIVE FILTERS
Authors: Vítor Nascimento; University of São Paulo 
Abstract: We propose a new simple model for the input regressor vectors in adaptive filters. This model allows more insight on the effect of normalization on the convergence rate and eigenvalue spread for the normalized least-mean-squares algorithm (NLMS). Using the new model, we show that NLMS will work best to reduce eigenvalue spread when the input regressor vector points to all directions with equal probability, but with direction-dependent power.
 
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