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J. F. Bercher, “Tsallis Distribution as a Standard Maximum Entropy Solution with ‘Tail’ Constraint,” Physics Letters A, Vol. 372, No. 35, 2008, pp. 5657-5659.

has been cited by the following article:

• TITLE: Optimum Probability Distribution for Minimum Redundancy of Source Coding

  AUTHORS: Om Parkash, Priyanka Kakkar

  KEYWORDS: Mean Codeword Length; Uniquely Decipherable Code; Kraft’s Inequality; Entropy; Optimum Probability Distribution; Escort Distribution; Source Coding

  JOURNAL NAME: Applied Mathematics, Vol.5 No.1, January 7, 2014

  ABSTRACT: In the present communication, we have obtained the optimum probability distribution with which the messages should be delivered so that the average redundancy of the source is minimized. Here, we have taken the case of various generalized mean codeword lengths. Moreover, the upper bound to these codeword lengths has been found for the case of Huffman encoding.