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About two decades ago, renewed attention was given to the concept of coding for bandlimited channels, spurred by the development of a combined modulation and coding technique now referred to as trellis-coded modulation (TCM) [Ung82, Ung87] The principal advantage of TCM over modulation schemes used with traditional error-correction coding is its ability to achieve improved power ef ciency without the customary bandwidth expansion introduced by the use of coding Various versions of TCM can improve the performance of a modem by 3 to 6 dB on steadysignal channels The eight-state trellis code with a nominal gain of 4 dB is perhaps the most attractive, because more complex trellis codes offer little additional improvement but with extensive additional implementation complexity A version of TCM that can resolve 90 phase ambiguity [Wei84a, Wei84b] has been adopted by CCITT as a standard for QAM voiceband modems [CCI84a].

You will want to see a build versus buy analysis related to any vendor purchase decision. Knowing the criteria for the evaluation of vendors before the vendor identification process begins will be an important risk point to consider. All too often, vendors push product on systems integrators and project management touting the proverbial silver bullet, but always describing it in terms of their solution and not fully considering the real problem at all. Trying to build a problem around a proposed solution has led many a project implementer down the path to disappointment, frustrating the business management and sponsors along the way. You should expect to see time frame requirements that support the basic problem definition and a needs analysis well in advance of any vendor solution or particular product s consideration. The problem definition should be agreed to by the business organization and sponsorship and both build and buy solutions should then be investigated against these well-documented requirements for a solution.

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3.5 3.5.1

A comprehensive treatment of coded and uncoded signal constellations for bandlimited channels is available in [For84]..

Classical calculation (free atom charge densities)

Telecommunications Industry Association (TIA), The cdma2000 ITU-R RTT Candidate Submission, 1998 D Knisely, Q Li, and N Rames, cdma2000: A third generation radio transmission technology, Bell Labs Technical Journal,vol 3, pp 63-78, July-September 1998 Y Okumura and F, Adachi, Variable-rate data transmission with blind rate detection for coherent DS-CDMA mobile radio, IEICE Transactionson Communications, vol E81B, pp 1365-1373, July 1998 R Steele, ed, Mobile Radio Communications IEEE Press-Pentech Press, 1992 M Raitola, A Hottinen, and R Wichman, Transmission diversity in wideband CDMA, in Proceedings of VTC 98 (Spring) [376], pp 1545-1549 J Liberti Jr and T Rappaport, Analytical results for capacity improvements in CDMA, IEEE Transactions on Vehicular Technology,vol 43, pp 680-690, August 1994 J Winters, Smart antennas for wireless systems, IEEE Personal Communications, vol 5 , pp 23-27, February 1998 T Lim and L.

Let Y 2 denote the second moment of service time. From queueing theory, the mean queueing delay, W , is given by W = Y2 Y 2 = , 2(1 ) 2(1 ) Y where = = Y .

Rasmussen, Adaptive symbol and parameter estimation in asynchronous multiuser CDMA detectors, IEEE Transactions on Communications, vol 45, pp 213-220, February 1997 T Lim and S Roy, Adaptive filters in multiuser (MU) CDMA detection, Wireless Networks, vol 4, pp 307-3 18, June 1998 L Wei, Rotationally-invariant convolutional channel coding with expanded signal space, part I and 1 , IEEE Transactions on Selected Areas in Comms, vol SAC-2, 1 pp 659-686, September 1984 T Lim and M Ho, LMS-based simplifications to the kalman filter multiuser CDMA detector, in Proceedings of IEEE Asia-Pacific Conference on Communications/lnternational Conference on Communication Systems, (Singapore), November 1998 D You and T Lim, A modified blind adaptive multiuser CDMA detector, in Proand Apceedings of IEEE International Symposiumon Spread Spectrum Techniques [379], pp 878-882 plication (ISSSTA 98) S Sun, L Rasmussen, T Lim, and H.

I would like to thank my family Nick, John, and my wife Linda for putting up with me through the process of developing this book. Without their patience and understanding, this would not have been as easy or as enjoyable. I am also grateful to the many IS auditors whom I have met and worked with during my career in IS auditing. The association with other professionals who pursue excellence in their work is always a benefit to personal growth.

The nonPositiveInteger datatype, which is derived from integer, represents any negative integer. Remember that an integer is defined as a whole number

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