summary:The paper contains short description of $\Sigma\Pi$-algorithm for the approximation of the function with two independent variables by the sum of products of one-dimensional functions. Some realizations of this algorithm based on the continuous and discrete splines are presented here. Few examples concerning with compression in the solving of approximation problems and colour image processing are described and discussed
AbstractWe construct biorthogonal spline wavelets for periodic splines which extend the notion of “l...
A passive approximation problem is formulated where the target function is an arbitrary complex-valu...
This paper proposes a new method for image compression. The method is based on the approximation of ...
summary:The paper contains short description of $\Sigma\Pi$-algorithm for the approximation of the f...
The purpose of the study is to study the specificity of image encoding by spline interpolation, and ...
This dissertation gives explicit algorithms for constructing multiple types of high dimen-sional 1D ...
The action of various one-dimensional integral operators, discretized by a suitable quadrature metho...
A succinct introduction to splines, explaining how and why B-splines are used as a basis and how cub...
The aim of this thesis is to develop an algorithm for solving the best approximation problem in the ...
Data and function approximation is fundamental in application domains like path planning or signal p...
The problem of data approximation is of great interest. There are a lot of approaches to solve this ...
Typescript (photocopy).In this dissertation an algorithm is developed to approximate the n-fold conv...
Abstract. We give a recipe for deriving local spline approximation meth-ods which reproduce the whol...
In 1900, Hilbert stated that high order equations cannot be solved by sums and compositions of bivar...
This paper describes the approximation of discrete data using splines. The approximation method is a...
AbstractWe construct biorthogonal spline wavelets for periodic splines which extend the notion of “l...
A passive approximation problem is formulated where the target function is an arbitrary complex-valu...
This paper proposes a new method for image compression. The method is based on the approximation of ...
summary:The paper contains short description of $\Sigma\Pi$-algorithm for the approximation of the f...
The purpose of the study is to study the specificity of image encoding by spline interpolation, and ...
This dissertation gives explicit algorithms for constructing multiple types of high dimen-sional 1D ...
The action of various one-dimensional integral operators, discretized by a suitable quadrature metho...
A succinct introduction to splines, explaining how and why B-splines are used as a basis and how cub...
The aim of this thesis is to develop an algorithm for solving the best approximation problem in the ...
Data and function approximation is fundamental in application domains like path planning or signal p...
The problem of data approximation is of great interest. There are a lot of approaches to solve this ...
Typescript (photocopy).In this dissertation an algorithm is developed to approximate the n-fold conv...
Abstract. We give a recipe for deriving local spline approximation meth-ods which reproduce the whol...
In 1900, Hilbert stated that high order equations cannot be solved by sums and compositions of bivar...
This paper describes the approximation of discrete data using splines. The approximation method is a...
AbstractWe construct biorthogonal spline wavelets for periodic splines which extend the notion of “l...
A passive approximation problem is formulated where the target function is an arbitrary complex-valu...
This paper proposes a new method for image compression. The method is based on the approximation of ...