RESEARCH OF DATA DIAGNOSTIC METHODS IN A RESIDUE NUMBER SYSTEM

One of the effective ways to increase the productivity and reliability of data processing is the use of non-traditional types of machine arithmetic.Currently, there is considerable interest in alternative number systems, one of which is a non-positional number system based on the Chinese remainder theorem.The existing methods of control and diagnosis of data presented in the residue number system are low operational operations due to the complexity of implementation.The use of the results of solving this problem, namely the research and analysis of the main shortcomings of existing methods for diagnosing data presented in the nonpositional number system, will contribute to the further development of the theory and practice of error-correcting coding in the residue number system.This, in turn, expands the area of effective use of the residue number system as a number system for computer systems and a component for processing integer data.The purpose of the research is to analyze existing methods for diagnosing data based on the use of a non-positional number system in residual classes.Subject of research: methods and algorithms for diagnosing data presented in the form of residues from the division of a given residue number system.The main hypothesis of the research: the low operational efficiency of the process of diagnosis of constantly growing arrays of data reduces the practical use of the residue number system.

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