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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.
|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|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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