A Joint Representation of Rényi’s and Tsalli’s Entropy with Application in Coding Theory

Joint Authors

Kumar, Satish
Wondie, Litegebe

Source

International Journal of Mathematics and Mathematical Sciences

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-10-15

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Mathematics

Abstract EN

We introduce a quantity which is called Rényi’s-Tsalli’s entropy of order ξ and discussed some of its major properties with Shannon and other entropies in the literature.

Further, we give its application in coding theory and a coding theorem analogous to the ordinary coding theorem for a noiseless channel is proved.

The theorem states that the proposed entropy is the lower bound of mean code word length.

American Psychological Association (APA)

Wondie, Litegebe& Kumar, Satish. 2017. A Joint Representation of Rényi’s and Tsalli’s Entropy with Application in Coding Theory. International Journal of Mathematics and Mathematical Sciences،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1167709

Modern Language Association (MLA)

Wondie, Litegebe& Kumar, Satish. A Joint Representation of Rényi’s and Tsalli’s Entropy with Application in Coding Theory. International Journal of Mathematics and Mathematical Sciences No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1167709

American Medical Association (AMA)

Wondie, Litegebe& Kumar, Satish. A Joint Representation of Rényi’s and Tsalli’s Entropy with Application in Coding Theory. International Journal of Mathematics and Mathematical Sciences. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1167709

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1167709