Physics concepts have often been borrowed and independently developed by other fields of science. In this perspective, a significant example is that of the entropy in information theory. The aim of this paper is to provide a short and pedagogical introduction to the use of data compression techniques for the estimate of the entropy and other relevant quantities in information theory and algorithmic information theory. We consider in particular the LZ77 algorithm as a case study and discuss how a zipper can be used for information extraction.
Measuring complexity with zippers / Andrea, Baronchelli; Caglioti, Emanuele; Loreto, Vittorio. - In: EUROPEAN JOURNAL OF PHYSICS. - ISSN 0143-0807. - 26:5(2005), pp. S69-S77. [10.1088/0143-0807/26/5/s08]
Measuring complexity with zippers
CAGLIOTI, Emanuele;LORETO, Vittorio
2005
Abstract
Physics concepts have often been borrowed and independently developed by other fields of science. In this perspective, a significant example is that of the entropy in information theory. The aim of this paper is to provide a short and pedagogical introduction to the use of data compression techniques for the estimate of the entropy and other relevant quantities in information theory and algorithmic information theory. We consider in particular the LZ77 algorithm as a case study and discuss how a zipper can be used for information extraction.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.