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