Information theory and inverse probability in telecommunication

作者: P.M. Woodward , I.L. Davies

DOI: 10.1049/PI-3.1952.0011

关键词:

摘要: The foundations of information theory are presented as an extension the inverse probability. By postulating that is additive and taking suitable averages, all essential definitions Shannon's for discrete continuous communication channels, with without noise, obtained. based on idea receiving a communication, or making observation, merely changes relative probabilities various possible messages. whole process reception can therefore be regarded means evaluating posteriori probabilities, this leads to optimum receiver in any telecommunication problem always specified, principle, by simplest instance correlation detecting very weak signals presence its briefly discussed paper concludes answer criticisms use

参考文章(8)
L. Brillouin, Maxwell's Demon Cannot Operate: Information and Entropy. I Journal of Applied Physics. ,vol. 22, pp. 334- 337 ,(1951) , 10.1063/1.1699951
Maurice Stevenson Bartlett, Probability and Chance in the Theory of Statistics Proceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences. ,vol. 141, pp. 518- 534 ,(1933) , 10.1098/RSPA.1933.0136
CE Shennon, Warren Weaver, A mathematical theory of communication Bell System Technical Journal. ,vol. 27, pp. 379- 423 ,(1948) , 10.1002/J.1538-7305.1948.TB01338.X
D. A. Bell, Physical Entropy and Information Journal of Applied Physics. ,vol. 23, pp. 372- 373 ,(1952) , 10.1063/1.1702211
Philip Woodward, Inormation Theory and the Design of Radar Receivers Proceedings of the IRE. ,vol. 39, pp. 1521- 1524 ,(1951) , 10.1109/JRPROC.1951.273638
E. Colin Cherry, A history of the theory of information Journal of the Institution of Electrical Engineers. ,vol. 98, pp. 383- 393 ,(1951) , 10.1049/PI-3.1951.0082
Harold Jeffreys, R. Bruce Lindsay, Theory of probability ,(1939)
C.E. Shannon, Communication in the presence of noise Proceedings of the IEEE. ,vol. 37, pp. 447- 457 ,(1949) , 10.1109/JPROC.1998.659497