DOI: 10.47749/t/unicamp.2017.982099
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New methods for adaptive equalization based on Information Theoretic Learning

Abstract: I am thankful to my beloved fiancée, Raíssa, for having accepted to follow this journey together with me; for the love and happiness that you always give me.I am very grateful to Romis, who is an exceptional supervisor and friend. With great kindness, patience, commitment and competence, he has been during my entire academic life an excellent professor example that I wish to follow in my career.To my co-supervisor Aline, for the guidance, patience and friendship. Although relatively far, she was always present… Show more

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Cited by 2 publications
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“…Serão considerados três casos: o primeiro caso a ser tratado envolve uma fonte com distribuição Gaussiana, i.e., quando 𝑢(𝑛) ≍ 𝑁 (0, à 2 u ). Aqui, vamos reproduzir a dedução analítica originalmente desenvolvida em (FANTINATO, 2017).…”
Section: Parte II Contribuições 4 Correntropia Analíticaunclassified
“…Serão considerados três casos: o primeiro caso a ser tratado envolve uma fonte com distribuição Gaussiana, i.e., quando 𝑢(𝑛) ≍ 𝑁 (0, à 2 u ). Aqui, vamos reproduzir a dedução analítica originalmente desenvolvida em (FANTINATO, 2017).…”
Section: Parte II Contribuições 4 Correntropia Analíticaunclassified