Understand the relationship between information theory and the physics of electromagnetic wave propagation with this expert guide.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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).
Inhaltsangabe
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.
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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