Compressed Sensing Side Information by Rostami Mohammad (8 results)
Language: English
Published by Springer, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Language: English
Published by Springer 2013-06, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Language: English
Published by Springer-Verlag New York Inc, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Paperback. Condition: Brand New. 2013 edition. 69 pages. 9.00x6.00x0.25 inches. In Stock.
Language: English
Published by Springer, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Condition: 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… 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.
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Published by Springer, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Condition: 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 Heidelbe…rg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Condition: 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… 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.
Language: English
Published by Springer International Publishing Jun 2013, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- Print on Demand
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Taschenbuch. Condition: 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 o…ccur 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.
Language: English
Published by Springer, Springer Jun 2013, 2013
Series: Book 36 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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. Inthese 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 84 pp. Englisch.
