DocumentCode :
1007979
Title :
Average number of facets per cell in tree-structured vector quantizer partitions
Author :
Zeger, Kenneth ; Kantorovitz, Miriam R.
Author_Institution :
Illinois Univ., Urbana, IL, USA
Volume :
39
Issue :
3
fYear :
1993
fDate :
5/1/1993 12:00:00 AM
Firstpage :
1053
Lastpage :
1055
Abstract :
Upper and lower bounds are derived for the average number of facets per cell in the encoder partition of binary tree-structured vector quantizers. The achievability of the bounds is described as well. It is shown that the average number of facets per cell for unbalanced trees must lie asymptotically between three and four in R2 , and each of these bounds can be achieved, whereas for higher dimensions it is shown that an arbitrarily large percentage of the cells can each have a linear number (in codebook size) of facets. Analogous results are also indicated for balanced trees
Keywords :
trees (mathematics); vector quantisation; average number of facets per cell; balanced trees; binary tree-structured vector quantizers; encoder partition; lower bounds; unbalanced trees; upper bounds; Computational geometry; Data compression; Density functional theory; Encoding; Geometry; Information theory; Mathematics; Notice of Violation; Random variables; Vector quantization; Vectors;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.256514
Filename :
256514
Link To Document :
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