By Waslon Terllizzie A. Lopes (auth.), Vijay K. Bhargava, H. Vincent Poor, Vahid Tarokh, Seokho Yoon (eds.)
Communications, details and community Security is a superb reference for either expert and educational researchers within the box of communique. these operating in space-time coding, multiuser detection, and instant networks will locate the booklet to be of specific use. New and hugely unique effects by means of best specialists in conversation, info concept, and information defense are provided.
Communications, info and community Security is a tribute to the large and profound paintings of Ian Blake within the box of conversation. the entire participants have separately and jointly devoted their paintings to Professor Blake.
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Additional resources for Communications, Information and Network Security
In effect, many techniques have been proposed to improve the performance of those systems. Among them, one can mention: diversity techniques [1, 2, 3, 4] and coded modulation schemes [5, 6]. The diversity techniques consist, basically, of providing replicas of the transmitted signals to the receiver. Typical examples of diversity techniques are: time diversity, frequency diversity and spatial diversity . Another type of diversity has been recently proposed and it is based on the combination of a suitable choice of the reference angle of an MPSK constellation with the independent interleaving of the symbol components before transmission [7,8, 9, 10].
48, pp. 415-428, March 1999.  H. Bischl and E. Lutz, "Packet error rate in the non-interleaved Rayleigh channel," IEEE Transactions on Communications, Vol. 43, pp. 1375-1383, April 1995.  M. V. Hedge and M. Naraghi-Pour and X. Chen, "Convolutional coding for finite state channels," IEEE Transactions on Communications, Vol. 42, pp. 2231-2238, June 1994.  M. Mushkin and I. Bar-David, "Capacity and coding for the Gilbert-Elliott channels," IEEE Transactions on Information Theory, Vol. 35, pp.
E. bounds holding irrespectively of the code, given its rate only, are scarce (see however , ,  for results bounding distance distribution components given the minimum distance of a code). We offer such a result here, proving, loosely speaking, that if the rate V. K. Bhargava et al. ), Communications, Information and Network Security © Springer Science+Business Media New York 2003 34 COMMUNICATIONS, INFORMATION AND NETWORK SECURITY of a code is less than 1, then all its weight distribution components are exponentially smaller than corresponding binomial coefficients.