Wave Theory of Information

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).

• 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.

'This is an excellent textbook that ties together information theory and wave theory in a very insightful and understandable way. It is of great value and highly recommended for students, researchers and practitioners. Professor Franceschetti brings a highly valuable textbook based on many years of teaching and research.' Charles Elachi, California Institute of Technology and Director Emeritus of the Jet Propulsion Laboratory at NASA