Compressed Sensing and its Applications

MATHEON Workshop 2013

  • Holger Boche
  • Robert Calderbank
  • Gitta Kutyniok
  • Jan Vybíral

Part of the Applied and Numerical Harmonic Analysis book series (ANHA)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral
    Pages 1-39
  3. Patrick Llull, Xin Yuan, Xuejun Liao, Jianbo Yang, David Kittle, Lawrence Carin et al.
    Pages 41-74
  4. Ali Pezeshki, Yuejie Chi, Louis L. Scharf, Edwin K. P. Chong
    Pages 75-95
  5. Christos Thrampoulidis, Samet Oymak, Babak Hassibi
    Pages 97-141
  6. Nancy Bertin, Laurent Daudet, Valentin Emiya, Rémi Gribonval
    Pages 169-192
  7. Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab
    Pages 193-237
  8. Anthony Bourrier, Rémi Gribonval, Patrick Pérez
    Pages 239-258
  9. Shmuel Friedland, Qun Li, Dan Schonfeld, Edgar A. Bernal
    Pages 259-281
  10. Maryia Kabanava, Holger Rauhut
    Pages 315-339
  11. Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher
    Pages 341-387
  12. Holger Rauhut, Reinhold Schneider, Željka Stojanac
    Pages 419-450
  13. Miguel Rodrigues, Matthew Nokleby, Francesco Renna, Robert Calderbank
    Pages 451-468
  14. Back Matter
    Pages 469-472

About this book

Introduction

Since publication of the initial papers in 2006, compressed sensing has captured the imagination of the international signal processing community, and the mathematical foundations are nowadays quite well understood.

Parallel to the progress in mathematics, the potential applications of compressed sensing have been explored by many international groups of, in particular, engineers and applied mathematicians, achieving very promising advances in various areas such as communication theory, imaging sciences, optics, radar technology, sensor networks, or tomography.

Since many applications have reached a mature state, the research center MATHEON in Berlin focusing on "Mathematics for Key Technologies", invited leading researchers on applications of compressed sensing from mathematics, computer science, and engineering to the "MATHEON Workshop 2013: Compressed Sensing and its Applications” in December 2013. It was the first workshop specifically focusing on the applications of compressed sensing. This book features contributions by the plenary and invited speakers of this workshop.

To make this book accessible for those unfamiliar with compressed sensing, the book will not only contain chapters on various applications of compressed sensing written by plenary and invited speakers, but will also provide a general introduction into compressed sensing.

The book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering as well as other applied scientists interested in the potential and applications of the novel methodology of compressed sensing.  For those readers who are not already familiar with compressed sensing, an introduction to the basics of this theory will be included.

Keywords

Acoustic Imaging Compressed Sensing Convex Optimization Machine Learning Quantization Structured Sparsity Wireless Communications

Editors and affiliations

  • Holger Boche
    • 1
  • Robert Calderbank
    • 2
  • Gitta Kutyniok
    • 3
  • Jan Vybíral
    • 4
  1. 1.Lehrstuhl für Theoretische InformationstechnikTechnische Universität MünchenMünchenGermany
  2. 2.Department of Electrical and Computer EngineeringDuke UniversityDurhamUSA
  3. 3.Institut für MathematikTechnische Universität BerlinBerlinGermany
  4. 4.Faculty of Mathematics and PhysicsCharles UniversityPragueCzech Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-16042-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Birkhäuser, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-16041-2
  • Online ISBN 978-3-319-16042-9
  • Series Print ISSN 2296-5009
  • Series Online ISSN 2296-5017
  • About this book
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