Sampling Theory, a Renaissance
Springer International Publishing (Verlag)
978-3-319-79286-6 (ISBN)
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.
Erscheinungsdatum | 20.12.2018 |
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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 |
Gewicht | 830 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Schlagworte | compressive sensing • fourier analysis • frame theory • Information and Communication, Circuits • Random Measurements • Sampling theory • sparsity |
ISBN-10 | 3-319-79286-5 / 3319792865 |
ISBN-13 | 978-3-319-79286-6 / 9783319792866 |
Zustand | Neuware |
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