000 02243nam a22003498i 4500
001 CR9781139136334
003 UkCbUP
005 20240730160755.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 110805s2018||||enk o ||1 0|eng|d
020 _a9781139136334 (ebook)
020 _z9781107022317 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQ360
_b.F73 2018
082 0 0 _a003/.54
_223
100 1 _aFranceschetti, Massimo,
_eauthor.
_974635
245 1 0 _aWave theory of information /
_cMassimo Franceschetti, University of California, San Diego.
264 1 _aCambridge :
_bCambridge University Press,
_c2018.
300 _a1 online resource (xxiii, 451 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 27 Nov 2017).
520 _aUnderstand 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.
650 0 _aInformation theory.
_914256
650 0 _aElectromagnetic waves.
_93428
650 0 _aWave-motion, Theory of.
_911103
776 0 8 _iPrint version:
_z9781107022317
856 4 0 _uhttps://doi.org/10.1017/9781139136334
942 _cEBK
999 _c84190
_d84190