Articles liés à Sparse Representations and Compressive Sensing for...

Sparse Representations and Compressive Sensing for Imaging and Vision - Couverture souple

Livre 32 sur 209: SpringerBriefs in Electrical and Computer Engineering

Patel, Vishal M.; Chellappa, Rama

 
9781461463801: Sparse Representations and Compressive Sensing for Imaging and Vision
Couverture souple
ISBN 10 : 1461463807 ISBN 13 : 9781461463801
Editeur : Springer, 2013

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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Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2013
Langue
anglais
ISBN 10 
1461463807
ISBN 13 
9781461463801
Reliure
Broché
Nombre de pages
112
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