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Synopsis
Introduction.- Compressed Sensing.- Compressed Sensing with Side Information on Feasible Region.- Application: Image Deblurring for Optical Imaging.- Application: Surface Reconstruction in Gradient Field.- Conclusions and Future Work.
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À propos de l?auteur
Mohammad Rostami,
Singapore University of Technology and Design,
20 Dover Drive,
Singapore 138682
e-mail: m2rostam@uwaterloo.ca
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Compressed Sensing with Side Information on the Feasible Region (SpringerBriefs in Electrical and Computer Engineering)
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Compressed Sensing With Side Information on the Feasible Region
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Rostami:Compressed Sensing with Side In (eng)
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 77b9f5a3e4d878a0378d12443039a085
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Compressed Sensing With Side Information on the Feasible Region
Edité par
Springer, 2013
ISBN 10 : 3319003658
ISBN 13 : 9783319003658
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Compressed Sensing with Side Information on the Feasible Region (Paperback)
Edité par
Springer International Publishing AG, Cham, 2013
ISBN 10 : 3319003658
ISBN 13 : 9783319003658
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Paperback. Etat : new. Paperback. This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing. This book discusses compressive sensing in the presence of side information. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783319003658
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Compressed Sensing with Side Information on the Feasible Region (SpringerBriefs in Electrical and Computer Engineering)
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Compressed Sensing with Side Information on the Feasible Region
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Compressed Sensing with Side Information on the Feasible Region
Edité par
Springer International Publishing Jun 2013, 2013
ISBN 10 : 3319003658
ISBN 13 : 9783319003658
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing. 84 pp. Englisch. N° de réf. du vendeur 9783319003658
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Compressed Sensing with Side Information on the Feasible Region
Edité par
Springer International Publishing AG, 2013
ISBN 10 : 3319003658
ISBN 13 : 9783319003658
Neuf
Couverture souple
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Etat : New. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 82 pages, 20 black & white illustrations, biography. BIC Classification: PDE; PHS; TTBM; UYQV. Category: (P) Professional & Vocational. Dimension: 156 x 233 x 5. Weight in Grams: 136. . 2013. Paperback. . . . . N° de réf. du vendeur V9783319003658
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Compressed Sensing With Side Information on the Feasible Region
Edité par
Springer-Verlag New York Inc, 2013
ISBN 10 : 3319003658
ISBN 13 : 9783319003658
Neuf
Paperback
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Paperback. Etat : Brand New. 2013 edition. 69 pages. 9.00x6.00x0.25 inches. In Stock. N° de réf. du vendeur x-3319003658
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