Recent Advances in Compressed Sensing: Discrete Uncertainty Principles and Fast Hyperspectral Imaging - Couverture souple

Air Force Institute Of Technology

Couverture souple

ISBN 10 : 1523327227 ISBN 13 : 9781523327225

Editeur : CreateSpace Independent Publishing Platform, 2016

Synopsis

Compressed sensing is an important field with continuing advances in theory and applications. This book provides contributions to both theory and application. Much of the theory behind compressed sensing is based on uncertainty principles, which state that a signal cannot be concentrated in both time and frequency. We develop a new discrete uncertainty principle and use it to demonstrate a fundamental limitation of the demixing problem, and to provide a fast method of detecting sparse signals. The second half of this book focuses on a specific application of compressed sensing: hyperspectral imaging. Conventional hyperspectral platforms require long exposure times, which can limit their utility, and so we propose a compressed sensing platform to quickly sample hyperspectral data. We leverage certain combinatorial designs to build good coded apertures, and then we apply block orthogonal matching pursuit to quickly reconstruct the desired imagery.

Détails de l'édition

• Éditeur: CreateSpace Independent Publishing Platform
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 1523327227
• ISBN 13: 9781523327225
• Reliure: Broché
• Nombre de pages: 80
• Éditeur: Penny Hill Press Inc
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible