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Analysis of Information Measures in Communication Engineering
Subject area: Science,Engineering and Technology · Area of research: Communication Engineering
DOI: 10.64388/IREV9I10-1716751
Abstract
Our present work deals with information measures involving two probability distributions. Our focus is more on these information measures and generalizations. Some of the specific applications and interpretations of these information measures will discuss in this paper
Keywords
Information, Csiszár’s F-Divergence, Chi-Square Divergence
References
[1] Ali, S.M. and Silvey, S.D. (1966),A general class of coefficients of divergences of one distribution from another, Jour. Roy. Statist. Soc. B, 28, 131-142.
[2] Arimoto, S. (1971), Information theoretic considerations on estimation Problems, Information and Control, 19, 181-190.
[3] Balasubrahmanyam, C. and Siromoney, G. (1968),A note on entropy of Telungu prose”, Information and Control, 13, 281-285.
[4] Bassat Beth, M. (1978), f- entropies, probability of error and feature selection, Information Control, 39, 227-242
[5] Belis, M. and Guiasu, S. A quantitative qualitative measure of Information in cybernetics systems, IEEE Trans. on Information Theory, 14, 593-594.
[6] Bhaker U.S. and Hooda D.S.,On mean value characterization of useful information measure, Tamkang Journal of Mathematics, vol. 24(4), 383-384.
[7] Bhattacharyya, A. (1946), On some analogues to the amount of information and their uses in statistical estimation, Sankhya: The Indian Journal of Statistics (1933- 1960) , vol. 8 (3), 201-218.
[8] Burbea, J. and Rao, C.R. Entropy diffrential metric, distance and divergence measures in Probability spaces: A unified approach, J. Multivariate Analysis, vol. 12, 575-596.
[9] Burbea, J. and Rao, C.R. On the convexity of some divergence measures based on Entropy functions, IEEE Trans. on Information Theory, IT-28, 489- 495.
[10] Csiszár’s,I.Eineinformationstheoretischeungleichung und ithreanwendung auf den beweis der ergodizitat von markoffschenketten. Publ. Math. Inst. Hunger. Acad. Sci., 8, 85-107.
[11] Csiszár’s, I. (1974), Information measures: A critical survey, In Trans. seventh prague conf. on information Theory, volume A, Academia, Prague, 73- 86 .
[12] Darocozy Z. (1970), Generalized Information Measures, Information and Control, vol. 16, 36- 51.
[13] Dragomir, S. S. (2000), Some inequalities for the Csiszar's- divergence, Inequalities for the Csiszar'sf- divergence in Information Theory, Chapter 1, Article 1, (Edited by S. S. Dragomir), Available online at: http://rgmia.vu.edu.au/monographs/csiszar.html.
[14] Helinger, E. (1967),NeueBegrundung der theorie der quadratischen for- men von unendlichenvielenveraderlichen, J. Rein. Aug. Math., vol. 136, 210- 271.
[15] Jain, K.C. and Srivastava, A. (2007), On symmetric information divergence measure of Csiszar’sf- divergence class, Journal of Applied Mathematics, Statistics and Informatics, vol. 3 (1), 85- 102.
[16] Jain. K. C. and Mathur, R. (2011), A symmetric divergence measure and its bounds, Tamkang Journal of Mathematics, vol. 42 (4), 493- 503.
How to cite this paper
@article{1716751,
author = {Shivani Sharma, Amish Kumar, Dipika Gautam, Chandra Mukesh Swami},
title = {Analysis of Information Measures in Communication Engineering},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {2557-2559},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716751.pdf},
abstract = {Our present work deals with information measures involving two probability distributions. Our focus is more on these information measures and generalizations. Some of the specific applications and interpretations of these information measures will discuss in this paper},
keywords = {Information, Csiszár’s F-Divergence, Chi-Square Divergence},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716751}
}