Wave theory of information / Massimo Franceschetti, University of California, San Diego.
By: Franceschetti, Massimo [author.]
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Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2018Description: 1 online resource (xxiii, 451 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781139136334 (ebook).Subject(s): Information theory | Electromagnetic waves | Wave-motion, Theory ofAdditional physical formats: Print version: : No titleDDC classification: 003/.54 Online resources: Click here to access online Summary: 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.
Title from publisher's bibliographic system (viewed on 27 Nov 2017).
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.
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