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This article is cited in 2 scientific papers (total in 2 papers)
Neural network simulator of non-stationary environment in adaptive data transmission system
A. A. Nevzorov, A. A. Orlov, D. A. Stankevich Volgograd State University
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.
Keywords:
neural network, adaptive communication systems, simulation of physical medium.
Received: 11.04.2019 Revised: 11.04.2019 Accepted: 12.04.2019
Citation:
A. A. Nevzorov, A. A. Orlov, D. A. Stankevich, “Neural network simulator of non-stationary environment in adaptive data transmission system”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:14 (2019), 7–9; Tech. Phys. Lett., 45:7 (2019), 694–696
Linking options:
https://www.mathnet.ru/eng/pjtf5370 https://www.mathnet.ru/eng/pjtf/v45/i14/p7
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Abstract page: | 46 | Full-text PDF : | 23 |
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