Learning Rate Updating Methods Applied to Adaptive Fuzzy Equalizers for Broadband Power Line Communications

Learning Rate Updating Methods Applied to Adaptive Fuzzy Equalizers for Broadband Power Line Communications

<p/> <p>This paper introduces adaptive fuzzy equalizers with variable step size for broadband power line (PL) communications. Based on delta-bar-delta and local Lipschitz estimation updating rules, feedforward, and decision feedback approaches, we propose singleton and nonsingleton fuzzy...

Full description

Bibliographic Details
Main Author: Ribeiro Mois&#233;s V
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
power line communications
broadband applications
nonlinear equalization
fuzzy systems
learning rate updating
impulse noises
Online Access:http://dx.doi.org/10.1155/S1110865704407021

Internet

http://dx.doi.org/10.1155/S1110865704407021

Similar Items