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The Resource Sampling theory, a renaissance : compressive sensing and other developments, Götz E. Pfander, editor
Sampling theory, a renaissance : compressive sensing and other developments, Götz E. Pfander, editor
Resource Information
The item Sampling theory, a renaissance : compressive sensing and other developments, Götz E. Pfander, editor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Sampling theory, a renaissance : compressive sensing and other developments, Götz E. Pfander, editor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon?s classical sampling theorem, a central pillar of Sampling Theory. The growing need to efficiently obtain precise and tailored digital representations of complex objects and phenomena requires the maturation of available tools in Sampling Theory as well as the development of complementary, novel mathematical theories. Today, research themes such as Compressed Sensing and Frame Theory reenergize the broad area of Sampling Theory. This volume illustrates the renaissance that the area of Sampling Theory is currently experiencing. It touches upon trendsetting areas such as Compressed Sensing, Finite Frames, Parametric Partial Differential Equations, Quantization, Finite Rate of Innovation, System Theory, as well as sampling in Geometry and Algebraic Topology
 Language
 eng
 Extent
 1 online resource (xiv, 532 pages)
 Note
 Includes index
 Contents

 Part I: Sparsity Models
 Estimation in High Dimensions: A Geometric Perspective
 Convex Recovery of a Structured Signal from Independent Random Linear Measurements
 Low Complexity Regularization of Linear Inverse Problems
 Part II: Frames with Benefits
 Noiseshaping Quantization Methods for Framebased and Compressive Sampling Systems
 Fourier Operations in Applied Harmonic Analysis. The Fundamentals of Spectral Tetris Frame Constructions
 Part III: Bandlimitation Recast
 System Approximation and Generalized Measurements in Modern Sampling Theory
 Entire Functions in Generalized Bernstein Spaces and Their Growth Behavior
 Sampling and Geometry
 A Sheaftheoretic Perspective on Sampling
 Part IV: Solutions of Parametric PDEs
 How to Best Sample a Solution Manifold?
 On the Stability of Polynomial Interpolation using Hierarchical Sampling
 Part V: Implementation
 OperA: Operatorbased Annihilation for FiniteRateofInnovation Signal Sampling
 Digital Adaptive Calibration of Data Converters using Independent Component Analysis
 Isbn
 9783319197494
 Label
 Sampling theory, a renaissance : compressive sensing and other developments
 Title
 Sampling theory, a renaissance
 Title remainder
 compressive sensing and other developments
 Statement of responsibility
 Götz E. Pfander, editor
 Subject

 Complex analysis, complex variables
 Compressed sensing (Telecommunication)  Statistical methods
 Sampling (Statistics)
 Electronic books
 Maths for engineers
 Mathematical statistics
 Differential calculus & equations
 MATHEMATICS  Probability & Statistics  General
 Sampling (Statistics)
 MATHEMATICS  Applied
 Imaging systems & technology
 Mathematical statistics
 Applied mathematics
 Language
 eng
 Summary
 Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon?s classical sampling theorem, a central pillar of Sampling Theory. The growing need to efficiently obtain precise and tailored digital representations of complex objects and phenomena requires the maturation of available tools in Sampling Theory as well as the development of complementary, novel mathematical theories. Today, research themes such as Compressed Sensing and Frame Theory reenergize the broad area of Sampling Theory. This volume illustrates the renaissance that the area of Sampling Theory is currently experiencing. It touches upon trendsetting areas such as Compressed Sensing, Finite Frames, Parametric Partial Differential Equations, Quantization, Finite Rate of Innovation, System Theory, as well as sampling in Geometry and Algebraic Topology
 Cataloging source
 N$T
 Dewey number
 519.5/2
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA276.6
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 Pfander, Götz E.
 Series statement
 Applied and numerical harmonic analysis,
 http://library.link/vocab/subjectName

 Sampling (Statistics)
 Mathematical statistics
 Compressed sensing (Telecommunication)
 MATHEMATICS
 MATHEMATICS
 Mathematical statistics
 Sampling (Statistics)
 Imaging systems & technology
 Differential calculus & equations
 Maths for engineers
 Complex analysis, complex variables
 Applied mathematics
 Label
 Sampling theory, a renaissance : compressive sensing and other developments, Götz E. Pfander, editor
 Note
 Includes index
 Antecedent source
 unknown
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 Part I: Sparsity Models  Estimation in High Dimensions: A Geometric Perspective  Convex Recovery of a Structured Signal from Independent Random Linear Measurements  Low Complexity Regularization of Linear Inverse Problems  Part II: Frames with Benefits  Noiseshaping Quantization Methods for Framebased and Compressive Sampling Systems  Fourier Operations in Applied Harmonic Analysis. The Fundamentals of Spectral Tetris Frame Constructions  Part III: Bandlimitation Recast  System Approximation and Generalized Measurements in Modern Sampling Theory  Entire Functions in Generalized Bernstein Spaces and Their Growth Behavior  Sampling and Geometry  A Sheaftheoretic Perspective on Sampling  Part IV: Solutions of Parametric PDEs  How to Best Sample a Solution Manifold?  On the Stability of Polynomial Interpolation using Hierarchical Sampling  Part V: Implementation  OperA: Operatorbased Annihilation for FiniteRateofInnovation Signal Sampling  Digital Adaptive Calibration of Data Converters using Independent Component Analysis
 Dimensions
 unknown
 Extent
 1 online resource (xiv, 532 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9783319197494
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Note
 SpringerLink
 Other control number
 10.1007/9783319197494
 Other physical details
 illustrations (some color).
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (OCoLC)932016701
 (OCoLC)ocn932016701
 Label
 Sampling theory, a renaissance : compressive sensing and other developments, Götz E. Pfander, editor
 Note
 Includes index
 Antecedent source
 unknown
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 Part I: Sparsity Models  Estimation in High Dimensions: A Geometric Perspective  Convex Recovery of a Structured Signal from Independent Random Linear Measurements  Low Complexity Regularization of Linear Inverse Problems  Part II: Frames with Benefits  Noiseshaping Quantization Methods for Framebased and Compressive Sampling Systems  Fourier Operations in Applied Harmonic Analysis. The Fundamentals of Spectral Tetris Frame Constructions  Part III: Bandlimitation Recast  System Approximation and Generalized Measurements in Modern Sampling Theory  Entire Functions in Generalized Bernstein Spaces and Their Growth Behavior  Sampling and Geometry  A Sheaftheoretic Perspective on Sampling  Part IV: Solutions of Parametric PDEs  How to Best Sample a Solution Manifold?  On the Stability of Polynomial Interpolation using Hierarchical Sampling  Part V: Implementation  OperA: Operatorbased Annihilation for FiniteRateofInnovation Signal Sampling  Digital Adaptive Calibration of Data Converters using Independent Component Analysis
 Dimensions
 unknown
 Extent
 1 online resource (xiv, 532 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9783319197494
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Note
 SpringerLink
 Other control number
 10.1007/9783319197494
 Other physical details
 illustrations (some color).
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (OCoLC)932016701
 (OCoLC)ocn932016701
Subject
 Applied mathematics
 Complex analysis, complex variables
 Compressed sensing (Telecommunication)  Statistical methods
 Differential calculus & equations
 Electronic books
 Imaging systems & technology
 MATHEMATICS  Applied
 MATHEMATICS  Probability & Statistics  General
 Mathematical statistics
 Mathematical statistics
 Maths for engineers
 Sampling (Statistics)
 Sampling (Statistics)
Genre
Member of
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Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 97.445050



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Fine Arts LibraryBorrow itCatlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US35.210371 97.448244

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History of Science CollectionsBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

John and Mary Nichols Rare Books and Special CollectionsBorrow it401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US35.207487 97.447906


Price College Digital LibraryBorrow itAdams Hall 102 307 West Brooks St., Norman, OK, 73019, US35.210371 97.448244

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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/portal/Samplingtheoryarenaissancecompressive/BQ6P2WIw2Fw/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/portal/Samplingtheoryarenaissancecompressive/BQ6P2WIw2Fw/">Sampling theory, a renaissance : compressive sensing and other developments, Götz E. Pfander, editor</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>