• Title of article

    New Bounds for Entropy of Information Sources

  • Author/Authors

    Sayyari ، Yamin Department of Mathematics - Sirjan University Of Technology

  • From page
    1
  • To page
    9
  • Abstract
    Shannon’s entropy plays an important role in information theory, dynamical systems and thermodynamics. In this paper we applying Jensen’s inequality in information theory and we obtain some results for the Shannon’s entropy of random variables and Shannon’s entropy of stochastic process. Also we obtain upper bound and lower bound for Shannon’s entropy of information sources.
  • Keywords
    Entropy , Information source , convex function , random variable
  • Journal title
    Wavelets and Linear Algebra
  • Journal title
    Wavelets and Linear Algebra
  • Record number

    2514682

    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=10&DC=2514682