DocumentCode :
1950395
Title :
The minimax redundancy is a lower bound for most sources
Author :
Merhav, Neri ; Feder, Meir
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
fYear :
1994
fDate :
29-31 Mar 1994
Firstpage :
52
Lastpage :
61
Abstract :
The capacity of the channel induced by a given class of sources is well known to be an attainable lower bound on the redundancy of universal codes w.r.t this class, both in the minimax sense and in the Bayesian (maximin) sense. The authors main contribution is a relatively simple proof that the capacity is essentially a lower bound also in a stronger sense, that is, for “most” sources in the class. This result extends Rissanen´s (1984) lower bound for parametric families. Finally, the authors demonstrate the applicability of this result in several examples
Keywords :
channel capacity; encoding; minimax techniques; redundancy; Bayesian sense; channel capacity; lower bound; maximin sense; minimax redundancy; parametric families; universal codes; Bayesian methods; Capacity planning; Channel capacity; Data compression; Entropy; Minimax techniques; Probability distribution; Q measurement; Random variables; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1994. DCC '94. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-5637-9
Type :
conf
DOI :
10.1109/DCC.1994.305912
Filename :
305912
Link To Document :
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