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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.
|Publisher:||Cambridge University Press|
|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).