Title of article :
Quantization of probability distributions
under norm-based distortion measures II:
Self-similar distributions
Author/Authors :
Sylvain Delattre، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2006
Abstract :
For a probability measure P on Rd and n ∈ N consider en = inf mina∈α V ( x − a )dP(x)
where the infimum is taken over all subsets α of Rd with card(α) n and V is a nondecreasing
function. Under certain conditions on V , we derive the precise n-asymptotics of en for self-similar
distributions P and we find the asymptotic performance of optimal quantizers using weighted empirical
measures.
2005 Elsevier Inc. All rights reserved
Keywords :
Weak convergence , Local distortion , Norm-difference distortion , Self-similar measures , Empiricalmeasure , High-rate vector quantization , Point density measure
Journal title :
Journal of Mathematical Analysis and Applications
Journal title :
Journal of Mathematical Analysis and Applications