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A Neural Network Simulator of a Nonstationary Medium in an Adaptive Data Transmission System


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Abstract

A new method of optimization of the data transmission channel is described that is based on the use of a neural network simulator of a nonstationary physical medium. Experiments showed that, in cases of a low signal to noise ratio, the proposed method allows the reception error probability to be reduced to a level corresponding to the binary phase shift keying.

About the authors

A. A. Nevzorov

Volgograd State University

Author for correspondence.
Email: terrapevt@mail.ru
Russian Federation, Volgograd, 400062

A. A. Orlov

Volgograd State University

Email: terrapevt@mail.ru
Russian Federation, Volgograd, 400062

D. A. Stankevich

Volgograd State University

Email: terrapevt@mail.ru
Russian Federation, Volgograd, 400062

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