For homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show under some restrictions that the Euler exponent equals the quantization dimension of the uniform distribution on these Cantor sets. Moreover for a special sub-class of these sets we present a linkage between the Hausdorff and the Packing measure of these sets and the high-rate asymptotics of the quantization error
The problem of quantization can be thought of as follows: given a probability distribution P and a n...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
Abstract. A linear Cantor set C with zero Lebesgue measure is associated with the countable collecti...
AbstractFor homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show...
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...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
For a large class of dyadic homogeneous Cantor distributions in R, which are not necessarily self-si...
We compute the exact Hausdorff and Packing measures of linear Cantor sets which might not be self si...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
We show that the asymptotic behavior of the quantization error allows the definition of dimensions f...
The objective of my thesis is to find optimal points and the quantization error for a probability me...
AbstractIn this paper we consider a class of symmetric Cantor sets in R. Under certain separation co...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
The problem of quantization can be thought of as follows: given a probability distribution P and a n...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
Abstract. A linear Cantor set C with zero Lebesgue measure is associated with the countable collecti...
AbstractFor homogeneous one-dimensional Cantor sets, which are not necessarily self-similar, we show...
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...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
For a large class of dyadic homogeneous Cantor distributions in R, which are not necessarily self-si...
We compute the exact Hausdorff and Packing measures of linear Cantor sets which might not be self si...
The quantization scheme in probability theory deals with finding a best approximation of a given pro...
We show that the asymptotic behavior of the quantization error allows the definition of dimensions f...
The objective of my thesis is to find optimal points and the quantization error for a probability me...
AbstractIn this paper we consider a class of symmetric Cantor sets in R. Under certain separation co...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
The problem of quantization can be thought of as follows: given a probability distribution P and a n...
Due to the rapidly increasing need for methods of data compression, quantization has become a flouri...
Abstract. A linear Cantor set C with zero Lebesgue measure is associated with the countable collecti...