Industrial Automatic Control Systems and Controllers Annotation << Back Binary Vectors of Errors Source of Markov Discrete Communication Channel with Memory Probability Distributions Formation with the Error Vectors Probability Grouping Method Application M.U. Konishev, A.A. Dvilyansky, A.U. Barabashov, K.E. Petrov The approach to reducing computational complexity of the decoding algorithm of error-correcting codes by the minimum average risk criteria is considered. The method of reducing the number of computational operations for generating the binary vectors probability distributions of the Markov discrete communication channel error source is described. A flowchart of generating the binary vectors probability distributions is presented. A compare of computational complexity diminution with famous methods is produced. Keywords: probability distribution; the minimum average risk criteria; error-correcting coding; Markov processes. Contacts: E-mail: misha-kon@mail.ru, E-mail: advil@mail.ru, E-mail: klanov1991@mail.ru, E-mail: pke.orel@bk.ru Pp. 42-52.