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Документ Сигнально-кодовые конструкции для адаптивных методов кодирования в многоканальных системах(Український державний університет залізничного транспорту, 2014) Горбачёв, Виктор Васильевич; Крылова, Виктория АнатольевнаВ данной статье рассмотрено построение сигнально-кодовой конструкции на основе адаптивных свёрточных кодов с объединением сигналов с гребенчатым спектром, обеспечивающие повышение удельной скорости передачи информации в сетях связи, при одновременном снижении энергетической эффективности.Документ Punctured NCC codes for information protection in information and measurement systems(Національний технічний університет "Харківський політехнічний інститут", 2022) Krylova, Victoria; Tverytnykova, Elena; Vasylchenkov, Oleg; Kolisnyk, TatyanaDuring development and design of information-measuring systems, enabling to carry out collection, processing and transmission of information, one of the main problems is the choice of effective methods of information protection against defects in noisy communication channels. Effective use of frequency-time resources of information communication channels, as the most valuable part of the information transmission system, is the key to provide reliable delivery of transmitted messages. One of effective directions of reliability increase and information transfer reliability in information-measuring communication networks is implementation of methods and algorithms of noise-resistant coding, providing for detection and coping with errors, arising due to interferences in the communication channel. In this case, the choice in favor of one or another coding method depends on the information characteristics of the data channel. Parameters of the noise coder must be coordinated with the source of the message, the communication channel, as well as the requirements for the reliability of bringing information to the recipient. The problem of obtaining a wide range of codec parameters with simultaneous preservation of the unified macrostructure of the codec in communication systems causes the need for research on the development of adaptive algorithms for error information protection. In the article the research results of the characteristics of variable rate slot convolutional codes for adaptive coding/decoding in information-measuring systems of information transmission are proposed. Consequently, when creating communication networks, there is no need to use a large number of different codecs, even with completely different requirements to the code rate, channel rate and gain due to coding. In addition, there is a real opportunity to create terminal equipment, working on unified algorithms of protection against errors and access.Документ Analysis of efficiency of the bioinspired method for decoding algebraic convolutional codes(Технологический центр, 2019) Panchenko, Sergii; Prykhodko, Sergii; Kozelkov, Sergii; Shtompel, Mykola; Kosenko, Viktor; Shefer, Oleksandr; Dunaievska, О. I.It has been shown that convolutional codes are widely used, along with various decoding methods, to improve the reliability of information transmission in wireless telecommunication systems. The general principles of synthesis and the parameters and algebraic non-systematic convolutional codes with arbitrary coding rate and maximum achievable code distance have been shown. The basic stages of the bioinspired method for decoding algebraic convolutional codes using a random shift mechanism have been presented. It has been shown that the essence of the presented decoding method implies applying the procedure of differential evolution with the heuristically determined parameters. In addition, this method uses information about the reliability of the adopted symbols to find the most reliable basis for the generalized generator matrix. The mechanism of random shift for the modification of the accepted sequence is additionally applied for the bioinspired search based on various most reliable bases of a generalized generator matrix. The research results established that the bioinspired method for decoding algebraic convolutional codes ensures greater efficiency compared with the algebraic decoding method in the communication channel with additive white Gaussian noise. Depending on the parameters of the algebraic convolutional code and the necessary error coefficient, the energy gain from encoding ranges from 1.6 dB to 3 dB. It was shown that the presented bioinspired decoding method can be used for convolutional codes with a large code constraint length. In doing so, the presented method for decoding algebraic convolutional codes is less efficient than the Viterbi decoding method and turbo codes at a sufficient number of decoding iterations.