We introduce the quantization number and the essential covering rate. We treat the quantization for product measures and give effective upper bounds for the quantization dimension of measures. Complete moment condition and limit quantization dimension are introduced and studied.We introduce and study stability and stabilization for dimensions of measures and prove that the stabilized upper quantization dimension coincides with the packing dimension. The quantization for homogeneous Cantor measures are studied in detail to construct examples showing that the lower quantization dimension is not finitely stable.We introduce the upper and lower vanishing rates and study the relationship between the quantization and absolute continuity of measur...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
We consider condensation measures of the form P:=13P∘S−11+13P∘S−12+13ν associated with the system (S...
For a large class of dyadic homogeneous Cantor distributions in R, which are not necessarily self-si...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
ABSTRACT. We effect a stabilization formalism for dimensions of measures and discuss the stability o...
AbstractWe introduce a notion of monotonicity of dimensions of measures. We show that the upper and ...
For homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show under s...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
We show that the asymptotic behavior of the quantization error allows the definition of dimensions f...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
We investigate quantization coefficients for probability measures μ on limit sets, which are generat...
The term quantization refers to the process of estimating a given probability by a discrete probabil...
AbstractFor homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show...
The problem of quantization can be thought of as follows: given a probability distribution P and a n...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
We consider condensation measures of the form P:=13P∘S−11+13P∘S−12+13ν associated with the system (S...
For a large class of dyadic homogeneous Cantor distributions in R, which are not necessarily self-si...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
ABSTRACT. We effect a stabilization formalism for dimensions of measures and discuss the stability o...
AbstractWe introduce a notion of monotonicity of dimensions of measures. We show that the upper and ...
For homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show under s...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
We show that the asymptotic behavior of the quantization error allows the definition of dimensions f...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
We investigate quantization coefficients for probability measures μ on limit sets, which are generat...
The term quantization refers to the process of estimating a given probability by a discrete probabil...
AbstractFor homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show...
The problem of quantization can be thought of as follows: given a probability distribution P and a n...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
We consider condensation measures of the form P:=13P∘S−11+13P∘S−12+13ν associated with the system (S...
For a large class of dyadic homogeneous Cantor distributions in R, which are not necessarily self-si...