Analysis of Neural Networks for Solving Telecommunications Problems

Currently, of particular interest is neural network optimization of noise-resistant coding and decoding procedures for communication and data transmission systems, recognition of signal modulation methods, recognition of delay, as well as phase shift, etc. For example, recognizing the original message using neural networks can significantly facilitate the procedure for decoding incoming information. The use of neural networks in communication systems is intended to facilitate the processes of digital signal processing. This article is an analysis of the influence of neural networks on the noise immunity of communication and data transmission systems and the identification of prospects for optimizing digital signal processing processes as a promising direction for the development of telecommunication systems.