DATA PROCESSING ALGORITHMS IN INFOCOMMUNICATION SYSTEMS

The paper analyzes the features of effective methods for processing and transmitting data over infocommunication networks and the possibilities of improving the quality of data by using modern algorithms and restrictions on the basic duration of the code element used as the basis for constructing timer signal structures. The possibilities of increasing the channel performance by reducing the energy distance between timer signal structures, where the information parameter is time, are investigated. The disadvantages of classical coding methods with redundant codes are determined and the algorithms for generating signal structures of traditional noise-immune positional codes are analyzed. At the same time, positional coding is inferior in such important data transmission parameters as information capacity and entropy. In addition, the results of calculating the quality indicators of data transmission are significantly affected by the language used in the transmitted text information or the volume of the analyzed text, and it is proposed to use a certain/adapted type of coding for the transmitted data. A comparative analysis and assessment of the influence of the studied parameters on the quality of data transmission are carried out. Practical confirmation of the correctness of the results obtained is achieved by simulating a virtual transmission system with different coding principles on a software model.