We propose a practical algorithm of best rational approximation of a given order to a function in the Hardy H2 space on the unit circle or on the real line. The type approximation is proved to be equivalent with Blaschke form approximation. The algorithm is called Cyclic AFD as it adaptively selects one parameter during each cycle based on the Maximal Selection Principle used in adaptive Fourier decomposition (AFD)
Computing rational minimax approximations can be very challenging when there are singularities on or...
AbstractClassical rational interpolation is known to suffer from several drawbacks, such as unattain...
We consider convergence acceleration of the modified Fourier expansions by rational trigonometric co...
In the literature adaptive Fourier decomposition is abbreviated as AFD that addresses adaptive ratio...
Contains fulltext : 232858.pdf (Publisher’s version ) (Open Access)Adaptive Fourie...
Abstract. We study decomposition of functions in the Hardy space H2(D) into linear combinations of t...
The Adaptive Fourier Decomposition (AFD) is a novel signal decomposition algorithm that can describe...
The result of this research is the proposed to mathematical apparatus and a procedure for constructi...
The Adaptive Fourier Decomposition (AFD) is a novel signal decomposition algorithm that can describe...
AbstractWe study best approximation to functions in Hardy H2(D) by two classes of functions of which...
Abstract The adaptive Fourier decomposition (AFD) uses an adaptive basis instead of a fixed basis in...
We study the performance of adaptive Fourier-Galerkin methods in a periodic box in {R}^d with dimens...
We introduce a new algorithm for approximation by rational functions on a real interval or a set in ...
ABSTRACT. We study decompositions of functions in the Hardy spaces into linear com-binations of the ...
Author files.International audienceComputing rational minimax approximations can be very challenging...
Computing rational minimax approximations can be very challenging when there are singularities on or...
AbstractClassical rational interpolation is known to suffer from several drawbacks, such as unattain...
We consider convergence acceleration of the modified Fourier expansions by rational trigonometric co...
In the literature adaptive Fourier decomposition is abbreviated as AFD that addresses adaptive ratio...
Contains fulltext : 232858.pdf (Publisher’s version ) (Open Access)Adaptive Fourie...
Abstract. We study decomposition of functions in the Hardy space H2(D) into linear combinations of t...
The Adaptive Fourier Decomposition (AFD) is a novel signal decomposition algorithm that can describe...
The result of this research is the proposed to mathematical apparatus and a procedure for constructi...
The Adaptive Fourier Decomposition (AFD) is a novel signal decomposition algorithm that can describe...
AbstractWe study best approximation to functions in Hardy H2(D) by two classes of functions of which...
Abstract The adaptive Fourier decomposition (AFD) uses an adaptive basis instead of a fixed basis in...
We study the performance of adaptive Fourier-Galerkin methods in a periodic box in {R}^d with dimens...
We introduce a new algorithm for approximation by rational functions on a real interval or a set in ...
ABSTRACT. We study decompositions of functions in the Hardy spaces into linear com-binations of the ...
Author files.International audienceComputing rational minimax approximations can be very challenging...
Computing rational minimax approximations can be very challenging when there are singularities on or...
AbstractClassical rational interpolation is known to suffer from several drawbacks, such as unattain...
We consider convergence acceleration of the modified Fourier expansions by rational trigonometric co...