Title :
Universal channel coding with continuous output system
Author_Institution :
Grad. Sch. of Math., Nagoya Univ., Nagoya, Japan
Abstract :
We propose a universal channel coding for continuous output system with a parametric family of channels. Our encoder is the same as the previous paper [CMP 289, 1087]. For our decoding process, we invent α-Rényi divergence version of Clarke and Barron´s formula for Bayesian average distribution, which are not required in the previous paper [CMP 289, 1087]. Combing this formula and the information spectrum method, we propose our universal decoder. We also derive a lower bound for the error exponent.
Keywords :
Bayes methods; channel coding; statistical distributions; α-Rényi divergence version; Bayesian average distribution; continuous output system; error exponent; universal channel coding; Approximation methods; Australia; Bayes methods; Channel coding; Decoding; Manganese; Bayesian; Universal coding; information spectrum; type method;
Conference_Titel :
Information Theory and its Applications (ISITA), 2014 International Symposium on
Conference_Location :
Melbourne, VIC
