Geometric Reproducing Kernels for Signal Reconstruction

Eli Appleboim (1) , Emil Saucan (2) , Yehoshua Y. Zeevi (1)

1 EE-Technion - Department of Electrical Engineering - Technion [Haïfa]
2 TECHNION - Department of Mathematics

In this paper we propose a smoothing method for non smooth signals, which control the geometry of a sampled signal. The signal is considered as a geometric object and the smoothing is done using a smoothing kernel function that controls the curvature of the obtained smooth signal in a close neighborhood of a metric curvature measure of the original signal.

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

Eli Appleboim, Emil Saucan, Yehoshua Y. Zeevi. Geometric Reproducing Kernels for Signal Reconstruction. SAMPTA'09, May 2009, Marseille, France. pp.General session. ⟨hal-00453451⟩