Designing sparse sensing matrix for compressive sensing to reconstruct high resolution medical images

Compressive sensing theory enables faithful reconstruction of signals, sparse in domain $ \Psi $, at sampling rate lesser than Nyquist criterion, while using sampling or sensing matrix $ \Phi $ which satisfies restricted isometric property. The role played by sensing matrix $ \Phi $ and sparsity mat...

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Bibliographic Details

Published in:	Cogent Engineering
Main Authors:	Vibha Tiwari, P.P. Bansod, Abhay Kumar
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2015-12-01
Subjects:	compressive sensing telemedicine sensing matrix design medical image reconstruction
Online Access:	http://dx.doi.org/10.1080/23311916.2015.1017244