Optimal channel transmission of Gaussian Markov signal with delay

Abstract

The article examines the optimal transmission of stochastic processes with delay through the continuous-discrete channels. The extreme properties of optimal coding in terms of information amount maximization are proved.

Original language	English
Title of host publication	2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467383837
DOIs	https://doi.org/10.1109/SIBCON.2016.7491687
Publication status	Published - 14 Jun 2016
Event	2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Russian Federation Duration: 12 May 2016 → 14 May 2016

Other

Other	2016 International Siberian Conference on Control and Communications, SIBCON 2016
Country	Russian Federation
City	Moscow
Period	12.5.16 → 14.5.16

Keywords

coding
decoding
Signal
stochastic system
transmission channel

ASJC Scopus subject areas

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering
Modelling and Simulation
Computer Networks and Communications

Access to Document

10.1109/SIBCON.2016.7491687

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Optimal channel transmission of Gaussian Markov signal with delay. / Rozhkova, S. V.; Rozhkova, V. I.; Lasukov, V. V.; Devyashina, E. V.

2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7491687.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rozhkova, SV, Rozhkova, VI, Lasukov, VV & Devyashina, EV 2016, Optimal channel transmission of Gaussian Markov signal with delay. in 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings., 7491687, Institute of Electrical and Electronics Engineers Inc., 2016 International Siberian Conference on Control and Communications, SIBCON 2016, Moscow, Russian Federation, 12.5.16. https://doi.org/10.1109/SIBCON.2016.7491687

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