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ESAIM: PS, June 2009, Vol. 13, p. 218-246
DOI: 10.1051/ps:2008008
Universal Ls-rate-optimality of Lr-optimal quantizers by dilatation and contraction
Abass SagnaLaboratoire de Probabilités et Modèles Aléatoires, UMR 7599, Université Pierre et Marie Curie, Case 188, 4 place Jussieu, 75252 Cedex 05, Paris, France; sagna@ccr.jussieu.fr
Received July 12, 2007. Revised February 20, 2008. Published online 12 June 2009
Abstract
We investigate in this paper the properties of some dilatations or contractions of a sequence
of Lr-optimal quantizers of an
-valued random vector
defined in the probability space
with distribution
. To be precise, we investigate the Ls-quantization rate of sequences
when
or
and
. We show that for a wide family of distributions, one may always find parameters
such that
is Ls-rate-optimal. For the Gaussian and the exponential distributions we show the existence of a couple
such that
also satisfies the so-called Ls-empirical measure theorem. Our conjecture, confirmed by numerical experiments, is that such sequences are asymptotically Ls-optimal. In both cases the sequence
is incredibly close to Ls-optimality. However we show (see Rem. 5.4) that this last sequence is not Ls-optimal (e.g. when s = 2, r = 1) for the exponential distribution.
Mathematics Subject Classification. 60G15, 60G35, 41A52
Key words: Rate-optimal quantizers, empirical measure theorem, dilatation, Lloyd algorithm
© EDP Sciences, SMAI 2009
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