Analysis of a novel density matching criterion within the ITL framework for blind channel equalization

DOI10.1007/s00034-017-0543-4zbMath1426.94003OpenAlexW2602905213MaRDI QIDQ2003155

Denis G. Fantinato, Aline Neves, Romis Attux

Publication date: 16 July 2019

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-017-0543-4

zbMATH Keywords

entropyadaptive filteringcorrentropyinformation theoretic learningblind channel equalizationPDF matching

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Channel models (including quantum) in information and communication theory (94A40) Communication theory (94A05)

Cites Work

• A Mathematical Theory of Communication
• A survey on optimization metaheuristics
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• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Correntropy as a novel measure for nonlinearity tests
• New criteria for blind deconvolution of nonminimum phase systems (channels)
• An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources
• Robust identification of a nonminimum phase system: Blind adjustment of a linear equalizer in data communications
• Generalized correlation function: definition, properties, and application to blind equalization
• Information Theoretic Learning
• Stochastic blind equalization based on PDF fitting using Parzen estimator
• On Estimation of a Probability Density Function and Mode
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