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Generalized Shannon Code Minimizes The Maximal Redundancy
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Generalized Shannon Code Minimizes the. Maximal Redundancy. August 2, 2001. Michael Drmota. Wojciech Szpankowski. Institut fur Geometrie, TU Wien,. Department ...
Generalized Shannon Code Minimizes the Maximal ...
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由 M Drmota 著作2002被引用 22 次 — We adopt the minimax approach and search for the best code for the worst source. We establish that such redundancy is a sum of the likelihood ...
Generalized Shannon Code Minimizes the Maximal Redundancy
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Abstract. Source coding, also known as data compression, is an area of information theory that deals with the design and performance evalua-.
Generalized Shannon Code Minimizes the Maximal Redundancy
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We establish that su h redundan y is a sum of the likelihood estimator and the redundan y of the generalize ode omputed for the maximum likelihood distribution.
Generalized Shannon Code Minimizes the Maximal Redundancy
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We first prove that a generalized Shannon code minimizes the maximal redundancy among all prefix codes, and present an efficient implementation of the optimal ...
Precise minimax redundancy and regret
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由 M Drmota 著作2004被引用 124 次 — Among others, we prove that a generalized Shannon code minimizes the worst case redundancy, derive asymptotically its redundancy, and establish some general ...
The Precise Minimax Redundancy
TU Wien
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TU Wien
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Our first main result proves that a generalized Shannon code is an optimal code with respect to the maximal redundancy. §© ª «H¬ ھ® ¯± °5² t³p e probability ...
The Precise Minimax Redundancy
Inria
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as above. If we now take the generalized Shannon code that minimizes the maximal redundancy, we get for a sequence generated by a single memoryless source ...
Tight Bounds on Minimum Maximum Pointwise Redundancy
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由 M Baer 著作2008被引用 8 次 — It is well known that the Huffman algorithm [15] finds a code minimizing average redundancy. The Huffman algorithm is a greedy algorithm ...
l02-p306-318.txt
Latin American Theoretical INformatics Symposium
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... {Generalized Shannon Code Minimizes the Maximal Redundancy}, YEAR = 2002, BOOKTITLE = {Proc.~of the 5th Latin American Symposium on Theoretical Informatics ...