VORONYCH A. Entropy Methods Forming and Signal Processors Based on Galois Correcting Codes

The dissertation is devoted to solution scientific problem of development of entropy methods and processors in Galois basis by improving known and development of new digital facilities data forming and processing. In the thesis are determined functional and system characteristics of different entropy estimates. Shown prospect of using the correlation entropy measure for entropic approach the improvement of data forming and processing based on entropy special processors. Quasi-three entropy-manipulated data method forming and processing are proposed. Special processor of forming and digital data processing are designed based on the proposed method coded signal manipulation with high entropy, which allows to detect and correct errors during data transfer at the physical level. Developed special processor multi channels digital information forming and processing, which allows to combine different units transmit data stream using separate pairs of signal characteristics.