Berezhnaya O. Methods and algorithms of adaptive equiponderant coding on the basis of binomial numbers for information systems

The object of research is systems of noise-immunity coding for information problems of automation control systems. The aim is to increase data transmission speed in information systems under the limitations on its fidelity. The methods of information theory, coding theory, theory of probabilities, methodology of analytic and simulation design are used. The method of noise-immunity estimation of equiponderant codes, which gives a possibility to decide the task of adaptive selection of code parameters under the change of state of an information channel, is got further development. The method of adaptive selection of equiponderant code parameters, which allows us to optimise the code parameters for getting maximum of data transmission speed under the limitations on probability of undetected errors is developed. The methods of equiponderant coding and decoding on a basis of binomial numbers, which give possibility to realise practically coding and decoding operations under the adaptive changeable code parameters, are developed. Practical significance is that algorithms and programs of adaptive selection of equiponderant code parameters, coding and decoding, and structure of apparatuses are developed. The got results have been used in the project of the automation system for control and calculation of electric enerqy which is designed by science-production enterprise "Preobrazovatel" (Sumy) and public joint stock company "Sumy MSPA (machine-building science-production association) named by M.V. Frunze". The sphere of results application is information subsystems of automation control systems.