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 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...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
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 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, for a given family of constraints and the classical Cantor distribution we determine ...
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 ...
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...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
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 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, for a given family of constraints and the classical Cantor distribution we determine ...
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 ...
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...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...