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A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS)

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Publication:971077
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DOI10.1016/J.SIGPRO.2007.05.003zbMath1186.94144OpenAlexW1966468545MaRDI QIDQ971077

Deniz Erdogmus, Kyu-Hwa Jeong, Jose C. Principe, Seungju Han, Sudhir M. Rao

Publication date: 19 May 2010

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2007.05.003


zbMATH Keywords

Renyi's entropyMEE-SASminimum-error entropy (MEE)supervised training


Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)


Related Items (3)

A noise constrained least mean fourth (NCLMF) adaptive algorithm ⋮ A new robust fixed-point algorithm and its convergence analysis ⋮ Identification of an ARX model with impulse noise using a variable step size information gradient algorithm based on the kurtosis and minimum Renyi error entropy







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