Sparse Representations Compressive Sensing by Patel Vishal (15 results)
Language: English
Published by Springer, 2013
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Published by Springer 2013-02, 2013
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Published by Springer, 2013
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Published by Springer Verlag, 2013
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Published by Springer New York, 2013
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Language: English
Published by Springer, 2013
Series: Book 32 of 209 - SpringerBriefs in Electrical and Computer Engineering
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define…the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.
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Taschenbuch. Condition: Neu. Sparse Representations and Compressive Sensing for Imaging and Vision | Vishal M. Patel (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | x | Englisch | 2013 | Springer | EAN 9781461463801 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 6912…1 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2013
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Condition: New. Print on Demand pp. 114 41 Illus.
Language: English
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Published by Springer, Springer Feb 2013, 2013
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples…that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.
