The Resource Compressed Sensing and its Applications : MATHEON Workshop 2013, edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral, (electronic resource)
Compressed Sensing and its Applications : MATHEON Workshop 2013, edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral, (electronic resource)
Resource Information
The item Compressed Sensing and its Applications : MATHEON Workshop 2013, edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Compressed Sensing and its Applications : MATHEON Workshop 2013, edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 Summary
 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 Applicationsy 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
 Language
 eng
 Extent
 XII, 472 p. 105 illus., 70 illus. in color.
 Contents

 Survey on Compressed Sensing
 Temporal compressive sensing for video
 Compressed Sensing, Sparse Inversion, and Model Mismatch
 Recovering Structured Signals in Noise: LeastSquares Meets Compressed Sensing
 The Quest for Optimal Sampling: Computationally Efficient, Structureexploiting Measurements for Compressed Sensing
 Compressive Sensing in Acoustic Imaging
 Quantization and Compressive Sensing
 Compressive Gaussian Mixture Estimation
 Two Algorithms for Compressed Sensing of Sparse Tensors
 Sparse Model Uncertainties in Compressed Sensing with Application to Convolutions and Sporadic Communication
 Cosparsity in Compressed Sensing
 Structured Sparsity: Discrete and Convex Approaches
 Explicit Matrices with the Restricted Isometry Property: Breaking the SquareRoot Bottleneck
 Tensor Completion in Hierarchical Tensor Representations
 Compressive Classification: Where Wireless Communications Meets Machine Learning
 Isbn
 9783319160429
 Label
 Compressed Sensing and its Applications : MATHEON Workshop 2013
 Title
 Compressed Sensing and its Applications
 Title remainder
 MATHEON Workshop 2013
 Statement of responsibility
 edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral
 Language
 eng
 Summary
 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 Applicationsy 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
 Image bit depth
 0
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName

 Boche, Holger.
 Calderbank, Robert.
 Kutyniok, Gitta.
 Vybíral, Jan.
 SpringerLink (Online service)
 Series statement
 Applied and Numerical Harmonic Analysis,
 http://library.link/vocab/subjectName

 Mathematics
 Coding theory
 Matrix theory
 Algebra
 Information theory
 Computer mathematics
 Numerical analysis
 Label
 Compressed Sensing and its Applications : MATHEON Workshop 2013, edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier.
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 Contents
 Survey on Compressed Sensing  Temporal compressive sensing for video  Compressed Sensing, Sparse Inversion, and Model Mismatch  Recovering Structured Signals in Noise: LeastSquares Meets Compressed Sensing  The Quest for Optimal Sampling: Computationally Efficient, Structureexploiting Measurements for Compressed Sensing  Compressive Sensing in Acoustic Imaging  Quantization and Compressive Sensing  Compressive Gaussian Mixture Estimation  Two Algorithms for Compressed Sensing of Sparse Tensors  Sparse Model Uncertainties in Compressed Sensing with Application to Convolutions and Sporadic Communication  Cosparsity in Compressed Sensing  Structured Sparsity: Discrete and Convex Approaches  Explicit Matrices with the Restricted Isometry Property: Breaking the SquareRoot Bottleneck  Tensor Completion in Hierarchical Tensor Representations  Compressive Classification: Where Wireless Communications Meets Machine Learning
 Control code
 9783319160429
 Dimensions
 unknown
 Extent
 XII, 472 p. 105 illus., 70 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319160429
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia.
 Media type code

 c
 Other control number
 10.1007/9783319160429
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1022041747
 Label
 Compressed Sensing and its Applications : MATHEON Workshop 2013, edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier.
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 Contents
 Survey on Compressed Sensing  Temporal compressive sensing for video  Compressed Sensing, Sparse Inversion, and Model Mismatch  Recovering Structured Signals in Noise: LeastSquares Meets Compressed Sensing  The Quest for Optimal Sampling: Computationally Efficient, Structureexploiting Measurements for Compressed Sensing  Compressive Sensing in Acoustic Imaging  Quantization and Compressive Sensing  Compressive Gaussian Mixture Estimation  Two Algorithms for Compressed Sensing of Sparse Tensors  Sparse Model Uncertainties in Compressed Sensing with Application to Convolutions and Sporadic Communication  Cosparsity in Compressed Sensing  Structured Sparsity: Discrete and Convex Approaches  Explicit Matrices with the Restricted Isometry Property: Breaking the SquareRoot Bottleneck  Tensor Completion in Hierarchical Tensor Representations  Compressive Classification: Where Wireless Communications Meets Machine Learning
 Control code
 9783319160429
 Dimensions
 unknown
 Extent
 XII, 472 p. 105 illus., 70 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319160429
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia.
 Media type code

 c
 Other control number
 10.1007/9783319160429
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1022041747
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