Name: Recent Advances in Compressed Sensing: Discrete Uncertainty Principles and Fast Hyperspectral Imaging (en Inglés)
Price: 86957.00 COP
Availability: InStock
Author: Penny Hill Press Inc ; Air Force Institute of Technology
ISBN: 9781523327225

portada Recent Advances in Compressed Sensing: Discrete Uncertainty Principles and Fast Hyperspectral Imaging (en Inglés)

Formato

Libro Físico

Autor

Air Force Institute of Technology

Ilustrado por

Penny Hill Press Inc

Editorial

Createspace Independent Publishing Platform

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

28.0 x 21.6 x 0.4 cm

Peso

0.21 kg.

ISBN13

9781523327225

Categorías

Ingeniería militar

Recent Advances in Compressed Sensing: Discrete Uncertainty Principles and Fast Hyperspectral Imaging (en Inglés)

Air Force Institute of Technology (Autor) · Penny Hill Press Inc (Ilustrado por) · Createspace Independent Publishing Platform · Tapa Blanda

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Reseña del libro "Recent Advances in Compressed Sensing: Discrete Uncertainty Principles and Fast Hyperspectral Imaging (en Inglés)"

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.