Open AccessA new method for studying the average mutual information of binary symmetric discrete channel
Author(s) -
Hailin Xiao,
Zaiping Nie
Publication year - 2007
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.56.1948
Subject(s) - mutual information , binary number , channel (broadcasting) , interference (communication) , information theory , binary symmetric channel , computer science , topology (electrical circuits) , algorithm , channel capacity , statistical physics , mathematics , telecommunications , statistics , physics , combinatorics , arithmetic , artificial intelligence
We use the synergetics to study how to allocate input probability in the binary symmetric discrete channel in order to maximize average mutual information for memoryless and memory channels with interference. We obtained the result that for the memoryless channel, the maximal average mutual information is in accordance with that the equivalent input probability can give according to the information theory. Moreover, we also studied the binary discrete memory channel with interference (noise), taking into account the input and output symbols having different memory degree and interference factor, and finally obtained the symbol optimized input probability. This a new method for studying information theory is presented.