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The Resource Sampling Theory, a Renaissance : Compressive Sensing and Other Developments, edited by Götz E. Pfander, (electronic resource)
Sampling Theory, a Renaissance : Compressive Sensing and Other Developments, edited by Götz E. Pfander, (electronic resource)
Resource Information
The item Sampling Theory, a Renaissance : Compressive Sensing and Other Developments, edited by Götz E. Pfander, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Sampling Theory, a Renaissance : Compressive Sensing and Other Developments, edited by Götz E. Pfander, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University 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
 Edition
 1st ed. 2015.
 Extent
 XIV, 532 p. 69 illus., 40 illus. in color.
 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
 edited by Götz E. Pfander
 Subject

 Functions of a Complex Variable
 Approximation theory
 Appl.Mathematics/Computational Methods of Engineering
 Approximations and Expansions
 Engineering mathematics
 Information and Communication, Circuits
 Electronic resources
 Functions of complex variables
 Information theory
 Engineering mathematics
 Mathematics
 Signal, Image and Speech Processing
 Functions of complex variables
 Mathematics
 Information theory
 Applied mathematics
 Approximation theory
 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
 Image bit depth
 0
 LC call number

 Q350390
 QA10.4
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName

 Pfander, Götz E.
 SpringerLink
 Series statement
 Applied and Numerical Harmonic Analysis,
 http://library.link/vocab/subjectName

 Mathematics
 Approximation theory
 Functions of complex variables
 Information theory
 Applied mathematics
 Engineering mathematics
 Mathematics
 Information and Communication, Circuits
 Signal, Image and Speech Processing
 Approximations and Expansions
 Appl.Mathematics/Computational Methods of Engineering
 Functions of a Complex Variable
 Label
 Sampling Theory, a Renaissance : Compressive Sensing and Other Developments, edited by Götz E. Pfander, (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
 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
 Edition
 1st ed. 2015.
 Extent
 XIV, 532 p. 69 illus., 40 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783319197494
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783319197494
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783319197494
 Label
 Sampling Theory, a Renaissance : Compressive Sensing and Other Developments, edited by Götz E. Pfander, (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
 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
 Edition
 1st ed. 2015.
 Extent
 XIV, 532 p. 69 illus., 40 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783319197494
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other control number
 10.1007/9783319197494
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783319197494
Subject
 Appl.Mathematics/Computational Methods of Engineering
 Applied mathematics
 Applied mathematics
 Approximation theory
 Approximation theory
 Approximations and Expansions
 Electronic resources
 Engineering mathematics
 Engineering mathematics
 Functions of a Complex Variable
 Functions of complex variables
 Functions of complex variables
 Information and Communication, Circuits
 Information theory
 Information theory
 Mathematics
 Mathematics
 Signal, Image and Speech Processing
Member of
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.bu.edu/portal/SamplingTheoryaRenaissanceCompressive/UBQUeBK_R4A/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/SamplingTheoryaRenaissanceCompressive/UBQUeBK_R4A/">Sampling Theory, a Renaissance : Compressive Sensing and Other Developments, edited by Götz E. Pfander, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>