Some Inequalities in Information Theory Using Tsallis Entropy

Joint Authors

Kumar, Satish
Wondie, Litegebe

Source

International Journal of Mathematics and Mathematical Sciences

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-4, 4 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-04-03

Country of Publication

Egypt

No. of Pages

4

Main Subjects

Mathematics

Abstract EN

We present a relation between Tsallis’s entropy and generalized Kerridge inaccuracy which is called generalized Shannon inequality and is well-known generalization in information theory and then give its application in coding theory.

The objective of the paper is to establish a result on noiseless coding theorem for the proposed mean code length in terms of generalized information measure of order ξ.

American Psychological Association (APA)

Wondie, Litegebe& Kumar, Satish. 2018. Some Inequalities in Information Theory Using Tsallis Entropy. International Journal of Mathematics and Mathematical Sciences،Vol. 2018, no. 2018, pp.1-4.
https://search.emarefa.net/detail/BIM-1173450

Modern Language Association (MLA)

Wondie, Litegebe& Kumar, Satish. Some Inequalities in Information Theory Using Tsallis Entropy. International Journal of Mathematics and Mathematical Sciences No. 2018 (2018), pp.1-4.
https://search.emarefa.net/detail/BIM-1173450

American Medical Association (AMA)

Wondie, Litegebe& Kumar, Satish. Some Inequalities in Information Theory Using Tsallis Entropy. International Journal of Mathematics and Mathematical Sciences. 2018. Vol. 2018, no. 2018, pp.1-4.
https://search.emarefa.net/detail/BIM-1173450

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1173450