AbstractThis paper deals with the recovery of band- and energy-limited signals in Lp(I)-norm from Hermitian information gathered on a given finite interval I. Let mp(ε) be the minimal number of the information pieces required to find an ϵ-accurate approximation to any such signal. We shall prove that limϵ→0+ mp(ϵ)log log 1ϵlog1ϵ = 1 for any p in [1, ∞], and that for sufficiently small ε > 0, Hermitian interpolation using mp(ε)(1 + o(1)) arbitrary nodes yields an ε-approximation in Lp(I)-norm with almost minimal cost
The problem of approximating a given function (in the mean) on a finite interval by a finite sum of ...
Recently, a series of exciting results have shown that it is possible to reconstruct a sparse signa...
We consider the following k-sparse recovery problem: design an m x n matrix A, such that for any si...
AbstractThis paper deals with the recovery of band- and energy-limited signals in Lp(I)-norm from He...
AbstractThis paper deals with the recovery of band- and energy-limited signals from a finite set of ...
AbstractThis paper deals with recovering band- and energy-limited signals from a finite set of their...
Design of optimal signal reconstructors over all samplers and holds boils down to canceling frequenc...
Suppose we are given a vector f in a class F ⊂ ℝN, e.g., a class of digital signals or digital imag...
AbstractIn this paper, we consider the question of representing an entire function of finite order a...
AbstractThe classical Smolyak Lemma proves the existence of linear algorithms for recovering linear ...
In this work efficient geometric algorithms are provided for the linear approximation of digital sig...
The problem of band-limited extrapolation is studied in a general framework of estimation of a signa...
AbstractWe indicate a pulse form supported in the sample interval, which optimizes the relation betw...
This survey is concerned with the power of random information for approximation in the (deterministi...
This paper considers the model problem of reconstructing an object from incomplete frequency samples...
The problem of approximating a given function (in the mean) on a finite interval by a finite sum of ...
Recently, a series of exciting results have shown that it is possible to reconstruct a sparse signa...
We consider the following k-sparse recovery problem: design an m x n matrix A, such that for any si...
AbstractThis paper deals with the recovery of band- and energy-limited signals in Lp(I)-norm from He...
AbstractThis paper deals with the recovery of band- and energy-limited signals from a finite set of ...
AbstractThis paper deals with recovering band- and energy-limited signals from a finite set of their...
Design of optimal signal reconstructors over all samplers and holds boils down to canceling frequenc...
Suppose we are given a vector f in a class F ⊂ ℝN, e.g., a class of digital signals or digital imag...
AbstractIn this paper, we consider the question of representing an entire function of finite order a...
AbstractThe classical Smolyak Lemma proves the existence of linear algorithms for recovering linear ...
In this work efficient geometric algorithms are provided for the linear approximation of digital sig...
The problem of band-limited extrapolation is studied in a general framework of estimation of a signa...
AbstractWe indicate a pulse form supported in the sample interval, which optimizes the relation betw...
This survey is concerned with the power of random information for approximation in the (deterministi...
This paper considers the model problem of reconstructing an object from incomplete frequency samples...
The problem of approximating a given function (in the mean) on a finite interval by a finite sum of ...
Recently, a series of exciting results have shown that it is possible to reconstruct a sparse signa...
We consider the following k-sparse recovery problem: design an m x n matrix A, such that for any si...