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'Useful' Renyi's Information Measure of Order α, Type β And Source Coding Theorem

Authors(2):

Dhanesh Garg, Satish Kumar
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Dhanesh Garg, Satish Kumar

Tsalliís Entropy, Useful Tsalliís entropy, Utilities, Kraft inequality, Holderís inequality.

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  10. Satish Kumar and Arun Choudhary, A Coding theorem for the information measure  of order    and of  type  , Asian Journal of Mathematics and Statistics, Vol. 4, No. 2, 2011, 81-89.                            
  11. Satish Kumar and Arun Choudhary, A Noiseless Coding theorem connected with generalized Renyi's entropy of order  for incomplete power probability distribution , Asian Journal of Applied Sciences, Vol. 4, No. 6, 2011, 649-656.
  12. Satish Kumar and Arun Choudhary, A generalization of Shannon inequality based on Aczel and Daroczy entropy and its application in coding theory, Elixir Applied Mathematics, Vol. 39, 2011, 4616-4619.
  13. Habtu Alemayehu, Satish Kumar and Arun Choudhary, A Generalization of Shannon Inequality for Entropy of order and of  type   and its Application in Coding Theory, International Journal of Applied Engineering Research, Vol. 6, No. 18, 2011, 2140-2143.      
  14. Satish Kumar and Arun Choudhary, Some Coding Theorems Based on Three Types of the Exponential Form of Cost Functions, Open Systems & Information Dynamics ,Vol. 19, No. 4 (2012) 1250026 (14 pages) .
  15. Satish Kumar and Arun Choudhary, Some coding theorem connected on generalized Renyi’s entropy for incomplete power probability distribution  , Journal of Modern Methods in Numerical Mathematics, Vol. 3, No. 2, 2012, 59-65.

Publication Details

Published in : Volume 1 | Issue 5 | September-October - 2015
Date of Publication Print ISSN Online ISSN
2015-10-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
306-309 IJSRSET151572   Technoscience Academy

Cite This Article

Dhanesh Garg, Satish Kumar, "'Useful' Renyi's Information Measure of Order α, Type β And Source Coding Theorem", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.306-309, September-October-2015.
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