Compressed sensing: theory and applications
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
2012
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | XII, 544 S. Ill., graph. Darst. |
| ISBN: | 9781107005587 |
Internformat
MARC
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| 245 | 1 | 0 | |a Compressed sensing |b theory and applications |c ed. by Yonina C. Eldar ... |
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Datensatz im Suchindex
| _version_ | 1804148440977899520 |
|---|---|
| adam_text | Contents
List of contributors page
vii
Preface
ix
Introduction to compressed sensing
1
MARK A. DAVENPORT, MARCO F.
DUARTE, Y0NINA
C. ELDAR,
AND
GITTA KUTYNIOK
Second-generation sparse modeling: structured and
collaborative signal analysis
65
ALEXEY CASTRODAD,
IGNACIO
RAMIREZ,
GUILLERMO
SAPIRO,
PABLO
SPRECHMANN,
AND GUOSHEN YU
Xampling: compressed sensing of analog signals
88
MOSHE
MISHALI
AND YONINA
C. ELDAR
Sampling at the rate of innovation: theory and applications
148
JOSE ANTONIO URIGLIEN, YONINA
C. ELDAR,
PIER LUIGI DRAGOTTI,
AND ZVIKA BEN-HAIM
Introduction to the non-asymptotic analysis of random matrices
210
ROMAN VERSHYNIN
Adaptive sensing for sparse recovery
269
JARVIS
HAUPT
AND ROBERT
NOWAK
Fundamental thresholds in compressed sensing:
a high-dimensional geometry approach
305
WEIYU XU AND BABAK HASSIBI
Greedy algorithms for compressed sensing
348
THOMAS BLUMENSATH, MICHAEL
E. DAVIES,
AND GABRIEL RILLING
Contents
9
Graphical models concepts in compressed sensing
394
ANDREA
MONTANARI
10
Finding needles in compressed haystacks
439
ROBERT CALDERBANK AND
SINA JAFARPOUR
11
Data separation by sparse representations
485
GITTA KUTYNI0K
12
Face recognition by sparse representation
515
ARVIND GANESH, ANDREW WAGNER, ZIHAN ZHOU, ALLEN Y. YANG, Yl MA,
AND JOHN WRIGHT
Index
540
Compressed Sensing
Compressed sensing is an exciting, rapidly
growing field which has attracted considerable
attention in electrical engineering, applied
mathematics, statistics, and computer science.
Si nee its initial introduction severalyearsagoan
avalanche of results have been obtained both of a
theoreticalaswellas practical nature, and various
conferences, workshops, and
specialsessions
have
been dedicated to this growing research field. This
book provides the first detailed introduction to the
subject, highlighting recenttheoreticaladvances
and a range of applications, as wellas outlining
numerous remaining research challenges. After a
thorough reviewofthebasictheory, many cutting-
edge advances in the field are presented, including
advanced signal modeling, sub-Nyquist sampling
of analog signals, hardware prototypes, non-
asymptotic analysis of random matrices, adaptive
sensing, greedy algorithms, the use of graphical
models, and the separation of morphologically
distinct data components. Each chapteris written by
leading researchers in the field, and consistent style
and notation are utilized throughout. An extended
introductory chapter summarizes the basics of the field
so that no prior knowledge is required. Key background
information and clear definitions make this book an
ideal resource for researchers, graduate students,
and practitioners wanting
tojóin
this exciting
research area. It can also serve as a supplementary
textbook for courses on computer vision, coding
theory, signal processing, image processing,
and algorithmsforefficientdata processing.
YoninaC. EldarisaProfessorintheDepartmentof
Electrical Engineering atthe Technion.Israellnstitute
of Technology, a Research Affiliate with the Research
Laboratory of Electronics atthe Massachusetts
InstituteofTechnology,
anda
Visiting
Professorat
Stanford University. She has received numerousawards
forexcellencein research andteaching.includingthe
Wolf Foundation
Krill
Prize for
Excellencem
Scientific
Research, the Hershel Rich Innovation Award, the
Michael
Bruno Memoria
I Award from the Rothschild
Foundation, the Weizmann Prize for Exact Sciences,
and the Muriel& David Jacknow Award for Excellence in
Teaching. She is an Associate Editor for severaljournals
in the areas of signal processing and mathematics and a
Signal Processing Society Distinguished Lecturer.
Gitta Kutyniokisan
Einstein
Professorin
the Department
of Mathematics atthe
Technische Universität
Berlin,
Germany. She has been a Postdoctoral Fellow at Princeton,
Stanford, and Yale Universities, and a Full Professor at
the
Universität Osnabrück,
Germany. Her research and
teaching have been recognized by various awards, including
a
Heisenberg
Fellowship and the
von
Kaven Prize by the
German Research Foundation, an Einstein Chair by the
Einstein Foundation Berlin, awards bythe
Universität
Paderborn
and the
Justus-Liebig Universität Gießen
for
Excellencein Research,as wellas
theWeierstraß
Prize for
OutstandingTeaching.Sheisan Associate Editorandalso
Corresponding Editor for severaljournals in the area of
applied mathematics.
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| discipline | Geowissenschaften Informatik Elektrotechnik / Elektronik / Nachrichtentechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| edition | 1. publ. |
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| spelling | Compressed sensing theory and applications ed. by Yonina C. Eldar ... 1. publ. Cambridge [u.a.] Cambridge Univ. Press 2012 XII, 544 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Messtechnik (DE-588)4114575-6 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Informationstheorie (DE-588)4026927-9 gnd rswk-swf Signaltheorie (DE-588)4054945-8 gnd rswk-swf Informationstheorie (DE-588)4026927-9 s Signaltheorie (DE-588)4054945-8 s DE-604 Messtechnik (DE-588)4114575-6 s Signalverarbeitung (DE-588)4054947-1 s Eldar, Yonina C. 1973- Sonstige (DE-588)1043849696 oth Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024452224&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024452224&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Compressed sensing theory and applications Messtechnik (DE-588)4114575-6 gnd Signalverarbeitung (DE-588)4054947-1 gnd Informationstheorie (DE-588)4026927-9 gnd Signaltheorie (DE-588)4054945-8 gnd |
| subject_GND | (DE-588)4114575-6 (DE-588)4054947-1 (DE-588)4026927-9 (DE-588)4054945-8 |
| title | Compressed sensing theory and applications |
| title_auth | Compressed sensing theory and applications |
| title_exact_search | Compressed sensing theory and applications |
| title_full | Compressed sensing theory and applications ed. by Yonina C. Eldar ... |
| title_fullStr | Compressed sensing theory and applications ed. by Yonina C. Eldar ... |
| title_full_unstemmed | Compressed sensing theory and applications ed. by Yonina C. Eldar ... |
| title_short | Compressed sensing |
| title_sort | compressed sensing theory and applications |
| title_sub | theory and applications |
| topic | Messtechnik (DE-588)4114575-6 gnd Signalverarbeitung (DE-588)4054947-1 gnd Informationstheorie (DE-588)4026927-9 gnd Signaltheorie (DE-588)4054945-8 gnd |
| topic_facet | Messtechnik Signalverarbeitung Informationstheorie Signaltheorie |
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