Diffusion Least Mean Square: Simulations
Machine Learning
2014-02-21 v1 Multiagent Systems
Abstract
In this technical report we analyse the performance of diffusion strategies applied to the Least-Mean-Square adaptive filter. We configure a network of cooperative agents running adaptive filters and discuss their behaviour when compared with a non-cooperative agent which represents the average of the network. The analysis provides conditions under which diversity in the filter parameters is beneficial in terms of convergence and stability. Simulations drive and support the analysis.
Keywords
Cite
@article{arxiv.1402.4845,
title = {Diffusion Least Mean Square: Simulations},
author = {Jonathan Gelati and Sithan Kanna},
journal= {arXiv preprint arXiv:1402.4845},
year = {2014}
}