Title :
Single and multichannel sampling of bilevel polygons using exponential splines
Author :
Asl, Hojjat Akhondi ; Dragotti, Pier Luigi
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
Abstract :
In this paper we present a novel approach for sampling and reconstructing any K-sided convex and bilevel polygon with the use of exponential splines. It will be shown that with K+1 projections we are able to perfectly reconstruct a K-sided bilevel polygon from its samples. We will also investigate the multichannel sampling scenario, consisting of a bank of E-spline filters, each with a different delay parameter compared to the reference signal. We show how by retrieving the delay parameters, we can symmetrically sample and reconstruct a given bilevel polygon using exponential splines.
Keywords :
signal sampling; splines (mathematics); E-spline filters; K-sided bilevel polygon; K-sided convex; bilevel polygons; exponential splines; multichannel sampling; single channel sampling; Channel bank filters; Delay; Filter bank; Image reconstruction; Image sampling; Kernel; Multidimensional systems; Sampling methods; Signal processing algorithms; Signal sampling; Bilevel Polygon; Exponential Splines; FRI Signals; Multichannel Sampling; Projection-Slice Theorem;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960342