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  • © 2015

Compressed Sensing and its Applications

MATHEON Workshop 2013

Birkhäuser
  • First book on compressed sensing specifically focused on applications
  • Chapters written by leading researchers from mathematics, computer science and electrical engineering
  • Includes a thorough introduction to compressed sensing and unified notation

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

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xii
  2. A Survey of Compressed Sensing

    • Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral
    Pages 1-39
  3. Temporal Compressive Sensing for Video

    • Patrick Llull, Xin Yuan, Xuejun Liao, Jianbo Yang, David Kittle, Lawrence Carin et al.
    Pages 41-74
  4. Compressed Sensing, Sparse Inversion, and Model Mismatch

    • Ali Pezeshki, Yuejie Chi, Louis L. Scharf, Edwin K. P. Chong
    Pages 75-95
  5. Recovering Structured Signals in Noise: Least-Squares Meets Compressed Sensing

    • Christos Thrampoulidis, Samet Oymak, Babak Hassibi
    Pages 97-141
  6. Compressive Sensing in Acoustic Imaging

    • Nancy Bertin, Laurent Daudet, Valentin Emiya, Rémi Gribonval
    Pages 169-192
  7. Quantization and Compressive Sensing

    • Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab
    Pages 193-237
  8. Compressive Gaussian Mixture Estimation

    • Anthony Bourrier, Rémi Gribonval, Patrick Pérez
    Pages 239-258
  9. Two Algorithms for Compressed Sensing of Sparse Tensors

    • Shmuel Friedland, Qun Li, Dan Schonfeld, Edgar A. Bernal
    Pages 259-281
  10. Cosparsity in Compressed Sensing

    • Maryia Kabanava, Holger Rauhut
    Pages 315-339
  11. Structured Sparsity: Discrete and Convex Approaches

    • Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher
    Pages 341-387
  12. Tensor Completion in Hierarchical Tensor Representations

    • Holger Rauhut, Reinhold Schneider, Željka Stojanac
    Pages 419-450
  13. Compressive Classification: Where Wireless Communications Meets Machine Learning

    • Miguel Rodrigues, Matthew Nokleby, Francesco Renna, Robert Calderbank
    Pages 451-468
  14. Back Matter

    Pages 469-472

About this book

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.

Editors and Affiliations

  • Lehrstuhl für Theoretische Informationstechnik, Technische Universität München, München, Germany

    Holger Boche

  • Department of Electrical and Computer Engineering, Duke University, Durham, USA

    Robert Calderbank

  • Institut für Mathematik, Technische Universität Berlin, Berlin, Germany

    Gitta Kutyniok

  • Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

    Jan Vybíral

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access