Sparse representations and compressive sensing for imaging and vision

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 measuremen...

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Hlavní autoři: Patel, Vishal M., Chellappa, Rama, 1953- (Autor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: New York, NY : Springer New York 2013.
Cham : Springer Nature
Edice:SpringerBriefs in Electrical and Computer Engineering
On-line přístup:Accès sur la plateforme de l'éditeur
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Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Sparse Representations and Compressive Sensing for Imaging and Vision, Texte imprimé, 9781461463801
• Sparse Representations and Compressive Sensing for Imaging and Vision, Texte imprimé, 9781461463825
Obsah:
  • Introduction
  • Compressive Sensing
  • Compressive Acquisition
  • Compressive Sensing for Vision
  • Sparse Representation-based Object Recognition
  • Dictionary Learning
  • Concluding Remarks.