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|Title:||A pragmatic entropy and differential entropy estimator for small datasets|
|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)|
|Editor:||Sociedade Brasileira de Telecomunicações|
|Appears in Collections:||FEEC - Artigos e Outros Documentos|
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