Información General

• Autores: Daniel N. Rockmore (coord.)
• Editores: Cambridge University Press
• Año de publicación: 2002
• Colecciones: Mathematical Sciences Research Institute publications, 46
• País: Estados Unidos
• Idioma: inglés
• ISBN: 0-521-82706-X
• Texto completo no disponible (Saber más ...)

Resumen

• 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.

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Listado de artículos

• • Hyperbolic Geometry, Nehari's Theorem, Electric Circuits, and Analog Signal Processing

    J. Allen, Daniel Healy

    págs. 1-62

    

  • Engineering Applications of the Motion-Group Fourier Transform

    G. Chirikjian, Y. Wang

    págs. 63-77

    

  • Fast X-Ray and Beamlet Transforms for Three-Dimensional Data

    David L. Donoho, O. Levi

    págs. 79-116

    

  • Fourier Analysis and Phylogenetic Trees

    S. Evans

    págs. 117-136

    

  • Diffuse Tomography as a Source of Challenging Nonlinear Inverse Problems for a General Class of Networks

    A. Grünbaum

    págs. 137-146

    

  • An Invitation to Matrix-valued Spherical Functions

    A. Grünbaum, I. Pacharoni, J. A. Tirao

    págs. 147-160

    

  • Image Registration for MRI

    P. Kostelec, S. Periaswamy

    págs. 161-184

    

  • Image Compression: the Mathematics of JPEG 2000

    Jin Li

    págs. 185-221

    

  • Integrated Sensing and Processing for Statistical Pattern Recognition

    Christian Priebe, David J. Marchette, Daniel Healy

    págs. 223-246

    

  • Sampling of Functions and Sections for Compact Groups

    D. Maslen

    págs. 247-279

    

  • The Cooley--Tukey FFT and Group Theory

    D. Maslen, Dan Rockmore

    págs. 281-300

    

  • Signal Processing in Optic Fibers

    U. Österberg

    págs. 301-316

    

  • The Generalized Spike Process, Sparsity and Statistical Independence

    N. Saito

    págs. 317-340