Modern Signal Processing

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Daniel N. Rockmore (Dartmouth College, New Hampshire) Dennis M. Healy, Jr (University of Maryland, College Park)

Modern Signal Processing

Daniel N. Rockmore (Dartmouth College, New Hampshire), Dennis M. Healy, Jr (University of Maryland, College Park)

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English

Cambridge University Press
25 November 2010

Maths for engineers; Electronics & communications engineering; Acoustic & sound engineering

Series: Mathematical Sciences Research Institute Publications

Signal processing is everywhere in modern technology. Its mathematical basis and many areas of application are the subject of this book, based on a series of graduate-level lectures held at the Mathematical Sciences Research Institute. Emphasis is on challenges in the subject, particular techniques adapted to particular technologies, and certain advances in algorithms and theory. The book covers two main areas: computational harmonic analysis, envisioned as a technology for efficiently analysing real data using inherent symmetries; and the challenges inherent in the acquisition, processing and analysis of images and sensing data in general [EMDASH] ranging from sonar on a submarine to a neuroscientist's fMRI study.

Edited by: Daniel N. Rockmore (Dartmouth College New Hampshire), Dennis M. Healy, Jr (University of Maryland, College Park)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Volume: 46
Dimensions: Height: 234mm, Width: 156mm, Spine: 19mm
Weight: 500g
ISBN: 9780521158213
ISBN 10: 0521158214
Series: Mathematical Sciences Research Institute Publications
Pages: 354
Publication Date: 25 November 2010
Audience: College/higher education , A / AS level , Further / Higher Education
Format: Paperback
Publisher's Status: Active

1. Introduction D. Rockmore and D. Healy; 2. Hyperbolic geometry, Nehari's theorem, electric circuits, and analog signal processing J. Allen and D. Healy; 3. Engineering applications of the motion-group Fourier transform G. Chirikjian and Y. Wang; 4. Fast x-ray and beamlet transforms for three-dimensional data D. Donoho and O. Levi; 5. Fourier analysis and phylogenetic trees S. Evans; 6. Diffuse tomography as a source of challenging nonlinear inverse problems for a general class of networks A. Grunbaum; 7. An invitation to matrix-valued spherical functions A. Grunbaum, I. Pacharoni and J. Tirao; 8. Image registration for MRI P. Kostelec and S. Periaswamy; 9. The mathematics of JPEG 2000 Jin Li; 10. Integrated sensing and processing for statistical pattern recognition C. Priebe, D. Marchette and D. Healy; 11. Sampling of functions and sections for compact groups D. Maslen; 12. The Cooley-Tukey FFT and group theory D. Maslen and D. Rockmore; 13. Mathematical challenges for optical communications U. Osterberg; 14. The generalized spike process, sparsity and statistical independence N. Saito.