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Type: Artigo de evento
Title: Self-learning Deconvolution Using A Cascade Of Magnitude And Phase Equalizers
Author: da Rocha Carlos A.F.
Romano Joao Marcos T.
Macchi Odile
Abstract: In this work, we propose a non-linear structure for self-learning equalization, which can be easily updated using the direct-decision error criterion. Such a structure consists in three different systems: an IIR predictor that provides the magnitude equalization, an automatic gain control and a non-linear phase equalizer. The paper presents a theoretical analysis for the proposed structure and some simulation results with severe channels.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Date Issue: 1995
Appears in Collections:Unicamp - Artigos e Outros Documentos

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