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Synopsis
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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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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Sparse Representations and Compressive Sensing for Imaging and Vision
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Springer New York, 2013
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Sparse Representations and Compressive Sensing for Imaging and Vision (SpringerBriefs in Electrical and Computer Engineering)
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Sparse Representations and Compressive Sensing for Imaging and Vision
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Sparse Representations and Compressive Sensing for Imaging and Vision
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Springer New York Feb 2013, 2013
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ISBN 13 : 9781461463801
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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. 112 pp. Englisch. N° de réf. du vendeur 9781461463801
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Sparse Representations and Compressive Sensing for Imaging and Vision
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Sparse Representations and Compressive Sensing for Imaging and Vision
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Springer New York, Springer US, 2013
ISBN 10 : 1461463807
ISBN 13 : 9781461463801
Neuf
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9781461463801
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Sparse Representations and Compressive Sensing for Imaging and Vision
Edité par
Springer New York, Springer US Feb 2013, 2013
ISBN 10 : 1461463807
ISBN 13 : 9781461463801
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 112 pp. Englisch. N° de réf. du vendeur 9781461463801
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Sparse Representations and Compressive Sensing for Imaging and Vision
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Springer-Verlag New York Inc., 2013
ISBN 10 : 1461463807
ISBN 13 : 9781461463801
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Sparse Representations and Compressive Sensing for Imaging and Vision (SpringerBriefs in Electrical and Computer Engineering)
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