Sampling Theory, a Renaissance

Compressive Sensing and Other Developments

Buch | Hardcover

XIV, 532 Seiten

2015 | 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-19748-7 (ISBN)

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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 re-energize 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.

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.

Erscheint lt. Verlag	18.12.2015
Reihe/Serie	Applied and Numerical Harmonic Analysis
Zusatzinfo	XIV, 532 p. 69 illus., 40 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
Schlagworte	compressive sensing • fourier analysis • frame theory • Information and Communication, Circuits • Random Measurements • Sampling theory • sparsity
ISBN-10	3-319-19748-7 / 3319197487
ISBN-13	978-3-319-19748-7 / 9783319197487
Zustand	Neuware