Handbook of Fourier analysis & its applications

著者

    • Marks, Robert J.

書誌事項

Handbook of Fourier analysis & its applications

Robert J. Marks II

Oxford University Press, 2009

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Fourier analysis has many scientific applications - in physics, number theory, combinatorics, signal processing, probability theory, statistics, option pricing, cryptography, acoustics, oceanography, optics and diffraction, geometry, and other areas. In signal processing and related fields, Fourier analysis is typically thought of as decomposing a signal into its component frequencies and their amplitudes. This practical, applications-based professional handbook comprehensively covers the theory and applications of Fourier Analysis, spanning topics from engineering mathematics, signal processing and related multidimensional transform theory, and quantum physics to elementary deterministic finance and even the foundations of western music theory. As a definitive text on Fourier Analysis, Handbook of Fourier Analysis and Its Applications is meant to replace several less comprehensive volumes on the subject, such as Processing of Multifimensional Signals by Alexandre Smirnov, Modern Sampling Theory by John J. Benedetto and Paulo J.S.G. Ferreira, Vector Space Projections by Henry Stark and Yongyi Yang and Fourier Analysis and Imaging by Ronald N. Bracewell. In addition to being primarily used as a professional handbook, it includes sample problems and their solutions at the end of each section and thus serves as a textbook for advanced undergraduate students and beginning graduate students in courses such as: Multidimensional Signals and Systems, Signal Analysis, Introduction to Shannon Sampling and Interpolation Theory, Random Variables and Stochastic Processes, and Signals and Linear Systems.

目次

  • 1. Introduction
  • 2. Fundamentals of Fourier Analysis
  • 3. Fourier Analysis in Systems Theory
  • 4. Fourier Transforms in Probability, Random Variables and Stochastic Processes
  • 5. The Sampling Theory
  • 6. Generalizations of the Sampling Theorem
  • 7. Noise and Error Effects
  • 8. Multidimensional Signal Analysis
  • 9. Time-Frequency Representations
  • 10. Signal Recovery
  • 11. Signal and Image Synthesis: Alternating Projections Onto Convex Sets
  • 12. Mathematical Morphology and Fourier Analysis on Time Sales
  • 13. Applications
  • 14. Appendices
  • 15. Reference

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