Reconstruction of signals in a shift-invariant space from nonuniform samples

Junxi Zhao (1)

1 College of Mathematics and Physics

In this paper, we consider the method for reconstructing a signal from a finite number of samples. In shift-invariant space framework, we derive an aproximately min-max optimal interpolator to reconstruct a signal on an interval. An effective non-iterative algorithm for signal reconstruction is given also. Numerical examples show the effectiveness of the proposed method.

Domaines: Analyse classique [math.CA]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Junxi Zhao. Reconstruction of signals in a shift-invariant space from nonuniform samples. SAMPTA'09, May 2009, Marseille, France. pp.Poster session. ⟨hal-00453543⟩