| 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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