DocumentCode :
934573
Title :
Voronoi regions of lattices, second moments of polytopes, and quantization
Author :
Conway, J.H. ; Sloane, N. J A
Volume :
28
Issue :
2
fYear :
1982
fDate :
3/1/1982 12:00:00 AM
Firstpage :
211
Lastpage :
226
Abstract :
If a point is picked at random inside a regular simplex, octahedron, 600 -cell, or other polytope, what is its average squared distance from the centroid? In n -dimensional space, what is the average squared distance of a random point from the closest point of the lattice A_{n} (or D_{n}, E_{n}, A_{n}^{\\ast } or D_{n}^{\\ast })? The answers are given here, together with a description of the Voronoi (or nearest neighbor) regions of these lattices. The results have applications to quantization and to the design of signals for the Gaussian channel. For example, a quantizer based on the eight-dimensional lattice E8 has a mean-squared error per symbol of 0.0717 \\cdots when applied to uniformly distributed data, compared with 0.08333 \\cdots for the best one-dimensional quantizer.
Keywords :
Quantization (signal); Signal quantization; Gaussian channels; Helium; Lattices; Mathematics; Milling machines; Nearest neighbor searches; Probability density function; Quantization; Signal design; Statistics;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1982.1056483
Filename :
1056483
Link To Document :
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