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Download Compressed Sensing: Theory and Applications djvu

by Yonina C. Eldar,Gitta Kutyniok

Author: Yonina C. Eldar,Gitta Kutyniok
Subcategory: Engineering
Language: English
Publisher: Cambridge University Press; 1 edition (June 29, 2012)
Pages: 558 pages
Category: Engineering and Transport
Rating: 4.5
Other formats: mbr lrf azw rtf

This book is the rst monograph in the literature to provide a comprehensive survey of compressed sensing.

p. cm. Includes bibliographical references and index. ISBN 978-1-107-00558-7. 1. Signal processing. This book is the rst monograph in the literature to provide a comprehensive survey of compressed sensing.

Theory and Applications of Compressed Sensing. applications do not allow for a free choice of the sensing matrix and enforce a particularly. Cand& David Donoho, Michael Elad, and Yonina Eldar for various discussions on related. topics, and Sadegh Jokar for producing Figure 3. The author acknowledges support by the. Einstein Foundation Berlin, by Deutsche ft (DFG) Grants SPP-1324. Exemplary situations are the application of data separation, in which.

First, while the theory of compressed sensing focusses on digital data, it is desirable to develop a similar theory for the continuum setting.

Yonina C. Eldar and Gitta Kutyniok. Published by Cambridge University Press.

G I T TA K UT YNIOK Technische Universitt Berlin, Germany. Yonina C. Cambridge University Press 2012. M. A. Davenport, M. F. Duarte, Y. C. Eldar, and G. Kutyniok. the resulting Nyquist rate is so high that we end up with far too many samples. Alternatively, it may simply be too costly, or even physically impossible, to build devices capable of acquiring samples at the necessary rate. Eldar, Gitta Kutyniok This book provides the first detailed introduction to the subject, highlighting recent theoretical. Eldar, Gitta Kutyniok.

Theory and Applications. Publisher: Cambridge University Press. Online publication date: November 2012.

cle{edST, title {Compressed Sensing: Theory and Applications}, author {Gitta Kutyniok}, journal {ArXiv}, year . and applications Jose Antonia Uriguen, Yonina C. Elda. ONTINUE READING.

cle{edST, title {Compressed Sensing: Theory and Applications}, author {Gitta Kutyniok}, journal {ArXiv}, year {2012}, volume {abs/1203. 3815} }. Gitta Kutyniok. Cambridge University Press, 17 mag 2012 - 544 pagine.

Compressed sensing: theory and applications. YC Eldar, G Kutyniok. Cambridge university press, 2012. Theory and applications of compressed sensing. Introduction to compressed sensing. MA Davenport, MF Duarte, YC Eldar, G Kutyniok. Compressed sensing: theory and applications 105, 106, 2012. Sparse multidimensional representation using shearlets. D Labate, WQ Lim, G Kutyniok, G Weiss. Wavelets XI 5914, 59140U, 2005. PG Casazza, G Kutyniok. Contemporary Mathematics 345, 87-114, 2004. GAMMMitteilungen 36 (1), 79-101, 2013.

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing.