Open AccessA class of generalized Shannon-McMillan theorems for arbitrary discrete information source
Author(s) -
Kangkang Wang
Publication year - 2011
Publication title -
turkish journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 27
eISSN - 1303-6149
pISSN - 1300-0098
DOI - 10.3906/mat-0903-3
Subject(s) - mathematics , information source (mathematics) , class (philosophy) , entropy (arrow of time) , joint probability distribution , shannon's source coding theorem , information theory , kullback–leibler divergence , markov chain , limit (mathematics) , markov process , discrete mathematics , principle of maximum entropy , mathematical analysis , statistics , binary entropy function , computer science , maximum entropy thermodynamics , physics , quantum mechanics , artificial intelligence