AbstractMany signals encountered in science and engineering are approximated well by bandlimited functions. We provide suitable error bounds for the approximation of bandlimited functions by linear combinations of certain special functions—the prolate spheroidal wave functions of order 0. The coefficients in the approximating linear combinations are given explicitly via appropriate quadrature formulae
A spline-based integral approximation is utilized to define a sequence of approximations to the erro...
AbstractIn this paper, an error estimate of spectral approximations by prolate spheroidal wave funct...
In this article we analyse various methods of value approximation for Prolate Spheroidal Wave Functi...
AbstractMany signals encountered in science and engineering are approximated well by bandlimited fun...
The problem of approximating a given function (in the mean) on a finite interval by a finite sum of ...
In order to reconstruct a bandlimited signal f from its sampled values it is a standard practice to ...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
Abstract — For fixed c, Prolate Spheroidal Wave Functions (PSWFs), denoted by ψn,c, form an orthogon...
The work is concerned with the band-limited signal extrapolation using truncated series of prolate s...
Abstract. In this paper we point out an approximation for the Fourier transform for functions of bou...
This paper is concerned with the band-limited signal extrapolation using a truncated series of Prola...
International audienceThe aim of this paper is to investigate the quality of approximation of almost...
In this paper we point out an approximation for the Fourier transform\ud for functions of bounded va...
The application of Compressed Sensing techniques to bandlimited functions is investigated in this pa...
Introduction We introduce a simple method —integration of the power spectrum against a Fourier kerne...
A spline-based integral approximation is utilized to define a sequence of approximations to the erro...
AbstractIn this paper, an error estimate of spectral approximations by prolate spheroidal wave funct...
In this article we analyse various methods of value approximation for Prolate Spheroidal Wave Functi...
AbstractMany signals encountered in science and engineering are approximated well by bandlimited fun...
The problem of approximating a given function (in the mean) on a finite interval by a finite sum of ...
In order to reconstruct a bandlimited signal f from its sampled values it is a standard practice to ...
The authors describe an algorithm for the interpolation of burst errors in discrete-time signals tha...
Abstract — For fixed c, Prolate Spheroidal Wave Functions (PSWFs), denoted by ψn,c, form an orthogon...
The work is concerned with the band-limited signal extrapolation using truncated series of prolate s...
Abstract. In this paper we point out an approximation for the Fourier transform for functions of bou...
This paper is concerned with the band-limited signal extrapolation using a truncated series of Prola...
International audienceThe aim of this paper is to investigate the quality of approximation of almost...
In this paper we point out an approximation for the Fourier transform\ud for functions of bounded va...
The application of Compressed Sensing techniques to bandlimited functions is investigated in this pa...
Introduction We introduce a simple method —integration of the power spectrum against a Fourier kerne...
A spline-based integral approximation is utilized to define a sequence of approximations to the erro...
AbstractIn this paper, an error estimate of spectral approximations by prolate spheroidal wave funct...
In this article we analyse various methods of value approximation for Prolate Spheroidal Wave Functi...
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