A New iterative algorithm for computing the correct decoding probability exponent of discrete memoryless channels

Yutaka Jitsumatsu, Yasutada Oohama

Research output: Contribution to journalArticle

Abstract

Dueck and Körner's reliability function for discrete memoryless channels for rates above the capacity coincides with Arimoto's exponent of correct decoding probability. The two exponent functions are described by seemingly different optimization problems over the space of probability distributions. Arimoto gave an iterative algorithm for solving the optimization problem that appears in his exponent function. However, no algorithm to solve the optimization problem that appears in Dueck and Körner's exponent has been proposed. This paper proposes a new iterative algorithm for solving the minimization problem in Dueck and Körner's exponent. In the proposed algorithm, a double minimization form with respect to two joint distributions on input and output symbols is introduced. This double minimization is connected to another double minimization that appears in Arimoto's algorithm. Such a connection leads to a quadruple minimization problem, by which the match of Arimoto and Dueck-Körner exponents is easily proved.

Original languageEnglish
Article number8889422
Pages (from-to)1585-1606
Number of pages22
JournalIEEE Transactions on Information Theory
Volume66
Issue number3
DOIs
Publication statusPublished - Mar 2020

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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