Voronoi Cells of Lattices and Quantization Errors
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 or D * n )? If a point is picked at random inside a regular simplex, octahedron, 600-cell or other poly tope, what is its average squared distance from the centroid? The answers are given here, together with a description of the Voronoi cells of the above lattices. The results have applications to quantization and to the design of codes for a bandlimited channel. For example, a quantizer based on the eight-dimensional lattice E 8 has a mean squared error per symbol of 0.0717... when applied to uniformly distributed data, compared with 0.08333... for the best one-dimensional quantizer.
KeywordsWeyl Group Quantization Error Voronoi Cell Voronoi Region Minimal Vector
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