RESEARCHING OF EFFICIENT DATA PROCESSING ALGORITHMS TO INCREASE THE QUALITY OF INFORMATION TRANSFER IN INFOCOMMUNICATION SYSTEMS

In the process of data processing for their further efficient transmission through the channels of various infocommunication systems, it is of great technical importance to ensure high reliability and speed of transmission. To do this, modern systems use various encoding methods and methods for converting transmitted data. Each of the methods has its own advantages and disadvantages compared to the others. The principle studied in the work, the algorithm for the formation of "temporal signal structures" (TSC) and their further application for data transmission allows much more information to be transmitted in one time interval compared, for example, with positional coding. Also, classical positional coding is inferior in such important data transmission parameters as information capacity and entropy. At the same time, the results of calculating these parameters are greatly influenced by the language (alphabet) of the transmitted textual information, on the basis of which the calculations are carried out, or the type of text used (literary, technical, etc.). Also, the result of calculations can be affected by the amount of data being analyzed (Big Data), the effect is likely to be