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Simple entropy estimator for small datasets

2012; Institution of Engineering and Technology; Volume: 48; Issue: 17 Linguagem: Inglês

10.1049/el.2012.2002

1350-911X

Jugurta Montalvão, Romis Attux, Daniel G. Silva,

Blind Source Separation Techniques

A pragmatic approach for entropy estimation is presented. It is based on coincidence detection and its application leads to a simple algorithm with two attractive features: the method can be used without any a priori knowledge concerning the source alphabet cardinality (K) and it can provide useful, though biased, estimates even when the number of samples is less than K.