Sampling theory, a renaissance : compressive sensing and other developments /
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Imprint: | Cham : Birkhäuser, [2015]. ©2016 |
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Description: | 1 online resource (xiv, 532 pages) : illustrations (some color). |
Language: | English |
Series: | Applied and numerical harmonic analysis, 2296-5009 Applied and numerical harmonic analysis. |
Subject: | Sampling (Statistics) Mathematical statistics. Compressed sensing (Telecommunication) -- Statistical methods. MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Mathematical statistics. Sampling (Statistics) Electronic books. Electronic books. |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11096875 |
Table of 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
- Noise-shaping Quantization Methods for Frame-based 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 Sheaf-theoretic 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: Operator-based Annihilation for Finite-Rate-of-Innovation Signal Sampling
- Digital Adaptive Calibration of Data Converters using Independent Component Analysis.