Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349597
Type: Artigo
Title: A pragmatic entropy and differential entropy estimator for small datasets
Author: Montalvão, Jugurta
Attux, Romis
Silva, Daniel
Abstract: A pragmatic approach for entropy estimation is presented, first for discrete variables, then in the form of an extension for handling continuous and/or multivariate ones. It is based on coincidence detection, and its application leads to algorithms with three main attractive features: they are easy to use, can be employed without any a priori knowledge concerning source distribution (not even the alphabet cardinality K of discrete sources) and can provide useful estimates even when the number of samples is small (e.g. less than K, for discrete variables)
Subject: Entropia
Country: Brasil
Editor: Sociedade Brasileira de Telecomunicações
Rights: Aberto
Identifier DOI: 10.14209/jcis.2014.8
Address: https://jcis.sbrt.org.br/JCIS/article/view/53
Date Issue: 2014
Appears in Collections:FEEC - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
1014209jcis20148.pdf498.61 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.