Modern signal processing
Author(s)
Bibliographic Information
Modern signal processing
(Mathematical Sciences Research Institute publications, 46)
Cambridge University Press, 2010
- : pbk
Available at 1 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
"First published 2004"--T.p. verso
Description and Table of Contents
Description
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.
Table of Contents
- 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.
by "Nielsen BookData"