Information transmission and redundancy
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We consider a noisy communication channel in which discrete messages are transmitted by redundant digital signals. It is shown that the probability of true hypotheses can be arbitrarily close to unity if optimal coding is used and the signal-to-noise ratio exceeds the threshold value. This allows us to obtain the Shannon theorem formulation in which the channel capacity and entropy notions are not used.
KeywordsInformation Transmission Channel Output Corrected Distortion Binary Signal Transmission Quality
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- 4.R. Gallagher, Information Theory and Reliable Communication, Wiley, New York (1968).Google Scholar
- 5.M. V. Litvin, Proc. Nizhny Novgorod State Techn. Univ., Radioelectronic and Telecommunication Systems and Devices, 64, No. 11, 141 (2007).Google Scholar
- 6.M. V. Litvin, Vest. N. I. Lobachevsky Nizhny Novgorod Univ., No. 4, 89 (2011).Google Scholar
- 8.L. A.Vainshtein and V.D. Zubakov, Isolation of Signals against the Random Noise Background [in Russian], Sovetskoe Radio, Moscow (1960).Google Scholar
- 9.V. S. Korolyuk, N. I.Portenko, A.V. Skorokhod, and A.F.Turbin, Handbook of the Probability Theory and Mathematical Statistics [in Russian], Nauka, Moscow (1985).Google Scholar