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GENERALIZED SAMPLING WITH STRUCTURAL CONSTRAINTS

By Tsvi G. Dvorkind and Yonina C. Eldar

Abstract

We consider a generalized sampling scheme, for finite-dimensional sampling and reconstruction spaces where the correcting transformation must satisfy certain structural constraints. Several criteria are considered, which aim to minimize the squared error norm between the input signal and its approximation within the reconstruction space. By restricting the correcting transformation to a desired form, it is possible to obtain efficient implementations of the correction stage which may be vital in real time applications. 1

Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.418.7597
Provided by: CiteSeerX
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