Modern Signal Processing
by Edited by Daniel N. Rockmore , Dennis M. Healy, JrEdition: Revised
Format: Paperback
Pub. Date: 2010-11-25
Publisher(s): Cambridge University Press
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Summary
The mathematical basis of signal processing and its many areas of application is the subject of this book. Based on a series of graduate-level lectures held at the Mathematical Sciences Research Institute, the volume emphasizes current challenges, new techniques adapted to new technologies, and certain recent advances in algorithms and theory.
Table of Contents
| Introduction | |
| Hyperbolic geometry, Nehari's theorem, electric circuits, and analog signal processing | |
| Engineering applications of the motion-group Fourier transform | |
| Fast x-ray and beamlet transforms for three-dimensional data | |
| Fourier analysis and phylogenetic trees | |
| Diffuse tomography as a source of challenging nonlinear inverse problems for a general class of networks | |
| An invitation to matrix-valued spherical functions | |
| Image registration for MRI | |
| The mathematics of JPEG 2000 | |
| Integrated sensing and processing for statistical pattern recognition | |
| Sampling of functions and sections for compact groups | |
| The Cooley-Tukey FFT and group theory | |
| Mathematical challenges for optical communications | |
| The generalized spike process, sparsity and statistical independence | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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