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Trudy SPIIRAN, 2016, Issue 45, Pages 58–74
DOI: https://doi.org/10.15622/sp.45.4
(Mi trspy865)
 

This article is cited in 1 scientific paper (total in 1 paper)

Methods of Information Processing and Management

The Uncertainty Relation Between the Signals as a Criterion for Evaluation of Physical Data Rate

A. A. Musaevabc, Yu. P. Serdyukovd

a St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS)
b St. Petersburg State Technological Institute (technical university)
c Public corporation Specialized Engineering Company "Sevzapmontageautomatica"
d Mechnikov North-West State Medical University
Full-text PDF (917 kB) Citations (1)
Abstract: A more detailed representation of Shannon's formula for determining the channel capacity is developed. In a modified form it takes into account the parameters of the signal in both time and frequency range. One of the components introduced to the modified ratio of the Shannon communication channel throughput is the uncertainty relation. A new method of calculating the uncertainty relation for the signals is proposed and described. Examples of calculations of the uncertainty relation for different classes of signals using existing methods and the proposed approach are presented.
Keywords: potential channel capacity; Shannon formula; the physical bandwidth of the com-munication channel; the best signals; uncertainty relation; the method of moments; the energy method; weighting functions.
Bibliographic databases:
Document Type: Article
UDC: 519.72
Language: Russian
Citation: A. A. Musaev, Yu. P. Serdyukov, “The Uncertainty Relation Between the Signals as a Criterion for Evaluation of Physical Data Rate”, Tr. SPIIRAN, 45 (2016), 58–74
Citation in format AMSBIB
\Bibitem{MusSer16}
\by A.~A.~Musaev, Yu.~P.~Serdyukov
\paper The Uncertainty Relation Between the Signals as a Criterion for Evaluation of Physical Data Rate
\jour Tr. SPIIRAN
\yr 2016
\vol 45
\pages 58--74
\mathnet{http://mi.mathnet.ru/trspy865}
\crossref{https://doi.org/10.15622/sp.45.4}
\elib{https://elibrary.ru/item.asp?id=25920714}
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  • https://www.mathnet.ru/eng/trspy/v45/p58
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Informatics and Automation
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    Abstract page:139
    Full-text PDF :101
     
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