9783319003658 - compressed sensing with side information on the feasible region (springerbriefs in electrical and computer engineering) von rostami, mohammad (5 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2013
Serie: SpringerBriefs in Electrical and Computer Engineering, Buch 36 von 209. Buch 36 von 209 - SpringerBriefs in Electrical and Computer Engineering
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2013
Serie: SpringerBriefs in Electrical and Computer Engineering, Buch 36 von 209. Buch 36 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Paperback. Zustand: Brand New. 2013 edition. 69 pages. 9.00x6.00x0.25 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2013
Serie: SpringerBriefs in Electrical and Computer Engineering, Buch 36 von 209. Buch 36 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 f…rom 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.
Weitere BilderSprache: Englisch
Verlag: Springer, 2013
Serie: SpringerBriefs in Electrical and Computer Engineering, Buch 36 von 209. Buch 36 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Zustand: Neu. Compressed Sensing with Side Information on the Feasible Region | Mohammad Rostami | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | xiii | Englisch | 2013 | Springer | EAN 9783319003658 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg…, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2013
Serie: SpringerBriefs in Electrical and Computer Engineering, Buch 36 von 209. Buch 36 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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 f…rom 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.
