DocumentCode :
1318146
Title :
Hierarchical universal coding
Author :
Feder, Meir ; Merhav, Neri
Author_Institution :
Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
Volume :
42
Issue :
5
fYear :
1996
fDate :
9/1/1996 12:00:00 AM
Firstpage :
1354
Lastpage :
1364
Abstract :
In an earlier paper, we proved a strong version of the redundancy-capacity converse theorem of universal coding, stating that for “most” sources in a given class, the universal coding redundancy is essentially lower-bounded by the capacity of the channel induced by this class. Since this result holds for general classes of sources, it extends Rissanen´s (1986) strong converse theorem for parametric families. While our earlier result has established strong optimality only for mixture codes weighted by the capacity-achieving prior, our first result herein extends this finding to a general prior. For some cases our technique also leads to a simplified proof of the above mentioned strong converse theorem. The major interest in this paper, however, is in extending the theory of universal coding to hierarchical structures of classes, where each class may have a different capacity. In this setting, one wishes to incur redundancy essentially as small as that corresponding to the active class, and not the union of classes. Our main result is that the redundancy of a code based on a two-stage mixture (first, within each class, and then over the classes), is no worse than that of any other code for “most” sources of “most” classes. If, in addition, the classes can be efficiently distinguished by a certain decision rule, then the best attainable redundancy is given explicitly by the capacity of the active class plus the normalized negative logarithm of the prior probability assigned to this class. These results suggest some interesting guidelines as for the choice of the prior. We also discuss some examples with a natural hierarchical partition into classes
Keywords :
channel capacity; redundancy; source coding; active class; capacity-achieving prior; channel capacity; decision rule; general prior; hierarchical partition; hierarchical universal coding; mixture code; normalized negative logarithm; parametric families; probability; redundancy-capacity converse theorem; source coding; two-stage mixture; universal coding redundancy; Capacity planning; Channel capacity; Entropy; Guidelines; Length measurement; Minimax techniques;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.532877
Filename :
532877
Link To Document :
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