For a large class of dyadic homogeneous Cantor distributions in R, which are not necessarily self-similar, we determine the optimal quantizers, give a characterization for the existence of the quantization dimension, and show the non-existence of the quantization coefficient. The class contains all self-similar dyadic Cantor distributions, with contraction factor less than or equal to 1 3. For these distributions we calculate the quantization errors explicitly. Copyright line will be provided by the publisher
AbstractFor a probability measure P on Rd and n∈N consider en=inf∫mina∈αV(‖x−a‖)dP(x) where the infi...
summary:We establish the optimal quantization problem for probabilities under constrained Rényi-$\al...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
The objective of my thesis is to find optimal points and the quantization error for a probability me...
For homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show under s...
In this paper, for a given family of constraints and the classical Cantor distribution we determine ...
In this paper, we generalize the notion of unconstrained quantization of the classical Cantor distri...
ABSTRACT. We effect a stabilization formalism for dimensions of measures and discuss the stability o...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
AbstractFor homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
We consider probability distributions which are uniformly distributed on a disjoint union of balls w...
AbstractFor a probability measure P on Rd and n∈N consider en=inf∫mina∈αV(‖x−a‖)dP(x) where the infi...
summary:We establish the optimal quantization problem for probabilities under constrained Rényi-$\al...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
The objective of my thesis is to find optimal points and the quantization error for a probability me...
For homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show under s...
In this paper, for a given family of constraints and the classical Cantor distribution we determine ...
In this paper, we generalize the notion of unconstrained quantization of the classical Cantor distri...
ABSTRACT. We effect a stabilization formalism for dimensions of measures and discuss the stability o...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
AbstractFor homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
We consider probability distributions which are uniformly distributed on a disjoint union of balls w...
AbstractFor a probability measure P on Rd and n∈N consider en=inf∫mina∈αV(‖x−a‖)dP(x) where the infi...
summary:We establish the optimal quantization problem for probabilities under constrained Rényi-$\al...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...