ISBN-10:
1107022312
ISBN-13:
9781107022317
Pub. Date:
11/30/2017
Publisher:
Cambridge University Press
Wave Theory of Information

Wave Theory of Information

by Massimo FranceschettiMassimo Franceschetti
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Overview

Understand the relationship between information theory and the physics of wave propagation with this expert guide. Balancing fundamental theory with engineering applications, it describes the mechanism and limits for the representation and communication of information using electromagnetic waves. Information-theoretic laws relating functional approximation and quantum uncertainty principles to entropy, capacity, mutual information, rate distortion, and degrees of freedom of band-limited radiation are derived and explained. Both stochastic and deterministic approaches are explored, and applications for sensing and signal reconstruction, wireless communication, and networks of multiple transmitters and receivers are reviewed. With end-of-chapter exercises and suggestions for further reading enabling in-depth understanding of key concepts, it is the ideal resource for researchers and graduate students in electrical engineering, physics and applied mathematics looking for a fresh perspective on classical information theory.

Product Details

ISBN-13: 9781107022317
Publisher: Cambridge University Press
Publication date: 11/30/2017
Pages: 472
Product dimensions: 7.01(w) x 9.96(h) x 1.02(d)

About the Author

Massimo Franceschetti is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego, and a Research Affiliate of the California Institute of Telecommunications and Information Technology. He is the co-author of Random Networks for Communication (Cambridge, 2008).

Table of Contents

1. Introduction; 2. Signals; 3. Functional approximation; 4. Electromagnetic propagation; 5. Deterministic representations; 6. Stochastic representations; 7. Communication technologies; 8. The space-wave number domain; 9. The time-frequency domain; 10. Multiple scattering theory; 11. Noise processes; 12. Information-theoretic quantities; 13. Universal information bounds; Appendix A. Elements of functional analysis; Appendix B. Vector calculus; Appendix C. Methods for the asymptotic evaluation of integrals; Appendix D. Stochastic integration; Appendix E. Special functions; Appendix F. Electromagnetic spectrum; References; Index.

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