Adaptive primary codes of speech signals basedon theorem V.A. Kotelnikov and representations of Khurgin-Yakovlev
The algorithms for adaptation of primary codecs to various interfering factors are analyzed. Algorithms for adaptation of primary codecs to acoustic noise, as well as adaptation of combinations of primary and noise-immune software-configurable codecs under the action of interference in the communication channel, with the aim of optimal ratio of the quality of the reconstructed speech at a minimum transmission rate based on the theorem of V.A. Kotelnikov and the performances of Khurgin-Yakovlev. The analysis of primary codecs providing the best quality of the reconstructed speech at the output of the encoder under the action of various types of acoustic noise is carried out. It is shown that the use of the Khurgin-Yakovlev representation provides an additional gain in the quality of the reconstructed speech signal by 0.1-0.5 points, according to GOST R 50840-95 with separate coding of signal samples and the first derivative, simpler producing filters , as well as the possibility of parallel processing. The use of this algorithm allows to increase the quality of the recovered speech by 1 ... 1.5 points according to GOST R 50840-95 under the influence of acoustic noise in comparison with similar non-adaptive codecs based on V.A. Kotelnikov or the possibility of the required transmission rate by 15-30% for software-defined radio systems for receiving, transmitting and processing information.