Single-Iteration Algorithm for Compressive Sensing Reconstruction

Single-Iteration Algorithm for Compressive Sensing Reconstruction

A single-iteration algorithm is proposed for the reconstruction of sparse signal from its incomplete set of observations. Recently, the reconstruction algorithms have been intensively developed within the Compressive Sensing framework. Most of the existing solutions are based either on l1-norm optim...

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Bibliographic Details
Main Authors: S. Stanković, I. Orović, L. Stanković, A. Draganić
Format: Article
Language:English
Published: Telecommunications Society, Academic Mind 2014-06-01
Series:Telfor Journal
Subjects:
Compressive Sensing
missing samples
DFT
reconstruction algorithms
Online Access: http://journal.telfor.rs/Published/Vol6No1/Vol6No1_A7.pdf

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