Excursions in Harmonic Analysis, Volume 1 The February Fourier Talks at the Norbert Wiener Center
The Norbert Wiener Center for Harmonic Analysis and Applications provides a state-of-the art research venue for the broad emerging area of mathematical engineering in the context of harmonic analysis. This two-volume set consists of contributions from speakers at the February Fourier Talks (FFT) fro...
Other Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
Boston, MA
Birkhäuser
2013, 2013
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Edition: | 1st ed. 2013 |
Series: | Applied and Numerical Harmonic Analysis
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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