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Gruber P. Convex and Discrete Geometry

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33 Optimum Quantization 497<br />

encoder now works as follows: If x is a signal, it finds out to which set of the dissection<br />

x belongs. If it belongs to Ci, the encoder assigns the code-word ci, here also<br />

called code-vector, tox. In case of ambiguity, which can occur only for x in a set of<br />

Jordan measure 0, choose any code-vector ci with x ∈ Ci. Common measures for the<br />

quality of the thus defined encoder or (vector-)quantizer on C can be described as<br />

follows: Let α>0. The corresponding (average) distortion of the encoder is defined<br />

to be<br />

�<br />

�<br />

�x − ci� α dx.<br />

i<br />

Ci<br />

How should the cells Ci <strong>and</strong> the code-vectors ci be chosen in order to minimize<br />

the distortion? Given the code-book {c1,...,cn}, the distortion is minimized if<br />

C1,...,Cn are the Dirichlet–Voronoĭ cells in C corresponding to the code-book<br />

{c1,...,cn}. Then the distortion is easily seen to be<br />

�<br />

min<br />

i∈{1,...,n} {�x − ci� α }dx.<br />

Thus the minimum distortion is given by<br />

�<br />

min<br />

c∈S {�x − c�α }dx.<br />

C<br />

inf<br />

S⊆E d<br />

#S=n<br />

C<br />

The literature on vector quantization began with fundamental papers of Shannon<br />

[929] <strong>and</strong> Zador [1034, 1035]. Shannon considered the minimum distortion as<br />

d →∞, while in Zador’s high resolution theory the case n →∞is investigated.<br />

An immediate consequence of Zador’s theorem proved earlier, actually a reformulation<br />

of it, is the following result of Zador [1034, 1035].<br />

Corollary 33.3. Let α>0. Then there is a constant δ = δα,d > 0, depending only on<br />

α <strong>and</strong> d, such that the following holds: let C ⊆ Ed be a compact, Jordan measurable<br />

body. Then the minimum distortion of a vector-quantizer on C with n code-words is<br />

asymptotically equal to<br />

α+d<br />

V (C) α<br />

δ as n →∞.<br />

Remark. See <strong>Gruber</strong> [443] for more precise results.<br />

Minimum Error of Numerical Integration Formulae<br />

n α d<br />

Let J ⊆ Ed be a compact Jordan measurable set with V (J) >0 <strong>and</strong> F aclassof<br />

Riemann integrable functions on J. For given sets of n nodes N ={p1,...,pn} ⊆J<br />

<strong>and</strong> n weights W = {w1,...,wn} ⊆ R the error of the numerical integration<br />

formula �<br />

f (x) dx ≈ �<br />

f (pi)wi for f ∈ F<br />

J<br />

i

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