The Resource A Mathematical Introduction to Compressive Sensing, by Simon Foucart, Holger Rauhut, (electronic resource)

A Mathematical Introduction to Compressive Sensing, by Simon Foucart, Holger Rauhut, (electronic resource)

Label
A Mathematical Introduction to Compressive Sensing
Title
A Mathematical Introduction to Compressive Sensing
Statement of responsibility
by Simon Foucart, Holger Rauhut
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians. A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. Key features include: · The first textbook completely devoted to the topic of compressive sensing · Comprehensive treatment of the subject, including background material from probability theory, detailed proofs of the main theorems, and an outline of possible applications · Numerous exercises designed to help students understand the material · An extensive bibliography with over 500 references that guide researchers through the literature With only moderate prerequisites, A Mathematical Introduction to Compressive Sensing is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject
Member of
http://library.link/vocab/creatorName
Foucart, Simon
Dewey number
  • 621.382
  • 621.3822
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • 5lGAiWXjAKI
  • ADw55yroiE8
Language note
English
LC call number
QA71-90
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Rauhut, Holger.
Series statement
Applied and Numerical Harmonic Analysis,
http://library.link/vocab/subjectName
  • Computer science
  • Telecommunication
  • Functional analysis
  • Computational Science and Engineering
  • Signal, Image and Speech Processing
  • Math Applications in Computer Science
  • Communications Engineering, Networks
  • Functional Analysis
Label
A Mathematical Introduction to Compressive Sensing, by Simon Foucart, Holger Rauhut, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
1 An Invitation to Compressive Sensing -- 2 Sparse Solutions of Underdetermined Systems -- 3 Basic Algorithms -- 4 Basis Pursuit -- 5 Coherence -- 6 Restricted Isometry Property -- 7 Basic Tools from Probability Theory -- 8 Advanced Tools from Probability Theory -- 9 Sparse Recovery with Random Matrices -- 10 Gelfand Widths of l1-Balls -- 11 Instance Optimality and Quotient Property -- 12 Random Sampling in Bounded Orthonormal Systems -- 13 Lossless Expanders in Compressive Sensing -- 14 Recovery of Random Signals using Deterministic Matrices -- 15 Algorithms for l1-Minimization -- Appendix A Matrix Analysis -- Appendix B Convex Analysis -- Appendix C Miscellanea -- List of Symbols -- References
Dimensions
unknown
Edition
1st ed. 2013.
Extent
1 online resource (634 p.)
Form of item
online
Isbn
9780817649487
Media category
computer
Media type code
c
Other control number
10.1007/978-0-8176-4948-7
Specific material designation
remote
System control number
  • (CKB)3710000000015694
  • (EBL)1387199
  • (OCoLC)870244277
  • (SSID)ssj0000988209
  • (PQKBManifestationID)11572618
  • (PQKBTitleCode)TC0000988209
  • (PQKBWorkID)10950651
  • (PQKB)11188012
  • (DE-He213)978-0-8176-4948-7
  • (EXLCZ)993710000000015694
Label
A Mathematical Introduction to Compressive Sensing, by Simon Foucart, Holger Rauhut, (electronic resource)
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
1 An Invitation to Compressive Sensing -- 2 Sparse Solutions of Underdetermined Systems -- 3 Basic Algorithms -- 4 Basis Pursuit -- 5 Coherence -- 6 Restricted Isometry Property -- 7 Basic Tools from Probability Theory -- 8 Advanced Tools from Probability Theory -- 9 Sparse Recovery with Random Matrices -- 10 Gelfand Widths of l1-Balls -- 11 Instance Optimality and Quotient Property -- 12 Random Sampling in Bounded Orthonormal Systems -- 13 Lossless Expanders in Compressive Sensing -- 14 Recovery of Random Signals using Deterministic Matrices -- 15 Algorithms for l1-Minimization -- Appendix A Matrix Analysis -- Appendix B Convex Analysis -- Appendix C Miscellanea -- List of Symbols -- References
Dimensions
unknown
Edition
1st ed. 2013.
Extent
1 online resource (634 p.)
Form of item
online
Isbn
9780817649487
Media category
computer
Media type code
c
Other control number
10.1007/978-0-8176-4948-7
Specific material designation
remote
System control number
  • (CKB)3710000000015694
  • (EBL)1387199
  • (OCoLC)870244277
  • (SSID)ssj0000988209
  • (PQKBManifestationID)11572618
  • (PQKBTitleCode)TC0000988209
  • (PQKBWorkID)10950651
  • (PQKB)11188012
  • (DE-He213)978-0-8176-4948-7
  • (EXLCZ)993710000000015694

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