Blind equalization using the IRWLS formulation of the support vector machine

DOI10.1016/j.sigpro.2009.01.018zbMath1178.94084OpenAlexW2077327903MaRDI QIDQ1032395

Jonathan González-Olasola, Marcelino Lázaro

Publication date: 26 October 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.01.018

zbMATH Keywords

blind equalizationsupport vector machine (SVM)Godard's error functioniterative re-weighted least square (IRWLS)Sato's error functionsingle-input single-output

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

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• Blind Equalizers
• Super-exponential methods for blind deconvolution
• Numerical Optimization
• Blind channel identification based on second-order statistics: a frequency-domain approach
• Convergence of the IRWLS Procedure to the Support Vector Machine Solution

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