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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2015-12-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2015.1017244 |