An improvement of the upper bound on the entropy of information sources

Authors

  • Yamin Sayyari SIRJAN UNIVERSITY OF TECHNOLOGY, SIRJAN, IRAN

DOI:

https://doi.org/10.30495/jme.v15i0.1976

Keywords:

Entropy, Shannon’s entropy, Information source, Stochastic process, Zeta function

Abstract

Theory of zeta functions and fractional calculus plays an important role in the statistical problems and Shannon's entropy. Estimation of Shannon's entropies of information sources from numerical simulation of long orbits is difficult. Our aim within this paper is to present a strong upper bound for the Shannon's entropy of information sources.

Author Biography

Yamin Sayyari, SIRJAN UNIVERSITY OF TECHNOLOGY, SIRJAN, IRAN

Department of Mathematics, Faculty ofMathematics and Computer, SIRJAN UNIVERSITY OF TECHNOLOGY.

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Published

2021-06-24

Issue

Vol. 15

Section

Vol. 15, No. 5, (2021)

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