Hybrid Compressed Sensing of images

We consider the problem of recovering a signal/image (x) with a k-sparse representation, from hybrid (complex and real), noiseless linear samples (y) using a mixture of complex-valued sparse and real-valued dense projections within a single matrix. The proposed Hybrid Compressed Sensing (HCS) employ...

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Bibliographic Details

Published in:	2010 IEEE International Workshop on Multimedia Signal Processing pp. 99 - 104
Main Authors:	Moghadam, Abdolreza Abdolhosseini, Radha, Hayder
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2010
Subjects:	Complexity theory Compressed sensing Decoding Equations Image coding Indexes iterative decoding algorithms Sparse matrices sparse projections
ISBN:	1424481104, 9781424481101
Online Access:	Get full text
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