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1.

電子ブック

EB
edited by Robert Gallager, Jack Keil Wolf, Sunil Bharitkar, Chris Kyriakakis
出版情報: New York, NY : Springer New York, 2006
シリーズ名: Information Technology: Transmission, Processing and Storage ;
オンライン: http://dx.doi.org/10.1007/0-387-28503-2
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2.

電子ブック

EB
by Michael Elad
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
オンライン: http://dx.doi.org/10.1007/978-1-4419-7011-4
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3.

電子ブック

EB
edited by Otmar Scherzer
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
オンライン: http://dx.doi.org/10.1007/978-0-387-92920-0
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4.

電子ブック

EB
by Christopher Heil
出版情報: Boston : Springer Science+Business Media, LLC 2011, 2011
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4687-5
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5.

電子ブック

EB
by Gerald Kaiser
出版情報: Boston : Gerald Kaiser, 2011
シリーズ名: Modern Birkhäuser Classics ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8111-1
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6.

電子ブック

EB
by David Joyner, Jon-Lark Kim
出版情報: Boston : Springer Science+Business Media, LLC, 2011
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8256-9
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7.

電子ブック

EB
by Ole Christensen, Khadija L. Christensen
出版情報: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2005
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4448-2
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Preface
Approximation with Polynomials
Infinite Series
Fourier Analysis
Wavelets and Applications
Wavelets and their Mathematical Properties
Appendix A
Appendix B
References
Index
Preface
Approximation with Polynomials
Infinite Series
8.

電子ブック

EB
edited by Gitta Kutyniok, Demetrio Labate
出版情報: Boston : Birkhäuser Boston, 2012
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8316-0
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9.

電子ブック

EB
edited by Peter G. Casazza, Gitta Kutyniok
出版情報: Boston : Birkhäuser Boston : Imprint: Birkhäuser, 2013
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8373-3
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Introduction
Constructing Finite Frames with a Given Spectrum.-Spanning and Independence Properties of Finite.-Alegebraic Geometry and Finite Frames
Group Frames
Gabor Framses in Finite Dimensions
Frames as Codes
Quantization and Finite Frames
Finite Frames for Sparse Signal Processing
Finite Frames and Filter Banks
Finite Frame theory in Pure Mathematics
Probabilitstic Frames
Fusion Frames
Introduction
Constructing Finite Frames with a Given Spectrum.-Spanning and Independence Properties of Finite.-Alegebraic Geometry and Finite Frames
Group Frames
10.

電子ブック

EB
edited by Travis D. Andrews, Radu Balan, John J. Benedetto, Wojciech Czaja, Kasso A. Okoudjou
出版情報: Boston : Birkhäuser Boston : Imprint: Birkhäuser, 2013
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8376-4
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Part 1 Sampling Theory
Unions of Subspaces for Data Modeling and Subspace Clustering
Fusion frames and Unbiased Basic Sequences
Sampling in Spaces of Bandlimited Functions on Commutative Spaces
Smooth Interpolation of Data by Efficient Algorithms
An Overview of Time and Multiband Limiting
A Panorama of Sampling Theory
Part II Remote Sensing
Multistatic Radar Waveforms for Imaging of Moving Targets
Exploitation Performance and Characterization of a Prototype Compressive Sensing Imaging Spectrometer
An Introduction to Hyperspectral Image Data Modeling
Hyperspectral Demixing: Sparse Recovery of Highly Correlated Endmembers
Theory of Passive Synthetic Aperture Imaging
Part III Mathematics of Data Processing
Golay-Rudin-Shapiro Polynomials and Phased Arrays
Multi-Resolution Geometric Analysis for Data in High Dimensions
On the Fourth-Order Structure Function of a Fractal
Harmonic Analysis of Databases and Matrices
The Structure of Sidelobe-Preserving Operator Groups
Zeros of some Self-Reciprocal Polynomials
Part IV Applications of Data Processing
Generalized Mutual Interdependence Analysis of Noisy Channels
Approximation Methods for the Recovery of Shapes and Images from Gradients
FM Perturbations due to Near-Identity Linear Systems
Eddy Current Sensor Signal Processing for Stall Detection
State Dependent Channels: Strong Converse and Bounds on Reliability Function
Part 1 Sampling Theory
Unions of Subspaces for Data Modeling and Subspace Clustering
Fusion frames and Unbiased Basic Sequences