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Frames and Other Bases in Abstract and Function Spaces

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Cover of 'Frames and Other Bases in Abstract and Function Spaces'

Table of Contents

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    Book Overview
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    Chapter 1 Frames: Theory and Practice
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    Chapter 2 Dynamical Sampling and Systems from Iterative Actions of Operators
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    Chapter 3 Optimization Methods for Frame Conditioning and Application to Graph Laplacian Scaling
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    Chapter 4 A Guide to Localized Frames and Applications to Galerkin-Like Representations of Operators
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    Chapter 5 Computing the Distance Between Frames and Between Subspaces of a Hilbert Space
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    Chapter 6 Sigma-Delta Quantization for Fusion Frames and Distributed Sensor Networks
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    Chapter 7 Recent Progress in Shearlet Theory: Systematic Construction of Shearlet Dilation Groups, Characterization of Wavefront Sets, and New Embeddings
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    Chapter 8 Numerical Solution to an Energy Concentration Problem Associated with the Special Affine Fourier Transformation
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    Chapter 9 A Frame Reconstruction Algorithm with Applications to Magnetic Resonance Imaging
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    Chapter 10 Frame Properties of Shifts of Prolate and Bandpass Prolate Functions
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    Chapter 11 Fast Fourier Transforms for Spherical Gauss-Laguerre Basis Functions
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    Chapter 12 Multiscale Radial Basis Functions
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    Chapter 13 Orthogonal Wavelet Frames on Manifolds Based on Conformal Mappings
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    Chapter 14 Quasi Monte Carlo Integration and Kernel-Based Function Approximation on Grassmannians
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    Chapter 15 Construction of Multiresolution Analysis Based on Localized Reproducing Kernels
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    Chapter 16 Regular Sampling on Metabelian Nilpotent Lie Groups: The Multiplicity-Free Case
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    Chapter 17 Parseval Space-Frequency Localized Frames on Sub-Riemannian Compact Homogeneous Manifolds
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Citations

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Title
Frames and Other Bases in Abstract and Function Spaces
Published by
Springer International Publishing, June 2017
DOI 10.1007/978-3-319-55550-8
ISBNs
978-3-31-955549-2, 978-3-31-955550-8
Editors

Pesenson, Isaac, Le Gia, Quoc Thong, Mayeli, Azita, Mhaskar, Hrushikesh, Zhou, Ding-Xuan

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Other 2 22%
Student > Bachelor 1 11%
Unknown 2 22%
Readers by discipline Count As %
Mathematics 3 33%
Engineering 2 22%
Business, Management and Accounting 1 11%
Unknown 3 33%