Trellis-Coded Modulation

  • Irving S. Reed
  • Xuemin Chen
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 508)

Abstract

As it is discussed in Chapter 1, power and bandwidth are limited resources in modern communication systems, and the efficient exploitation of these resources invariably involves an increase in complexity. It has become apparent over the past few decades that when there are strict limits on the power and bandwidth resources, the complexity of communication systems still can be increased to obtain efficiencies that are even closer to the theoretical limits.

Keywords

Europe Attenuation Assure Expense Sine 

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Bibliography

  1. [1]
    J. L. Massey, “Coding and modulation in digital communications”, Proceedings of the 1974 International Zurich Seminar on Digital Communications, Zurich, Switzerland, pp.E2(l)–E2(4), March 1974.Google Scholar
  2. [2]
    G. Ungerboeck, “Channel coding with multilevel/phase signals”, IEEE Trans. Inform. Theory, vol. IT-28, pp.55–67, Jan. 1982.CrossRefGoogle Scholar
  3. [3]
    L. F. Wei, “Rotationally invariant trellis coded modulation with multidimensional MPSK,” IEEE Journal on Selected Areas in Communications, vol. SAC-7, No. 9, pp.1281–1295, Dec. 1989.CrossRefGoogle Scholar
  4. [4]
    S. S. Pietrobon, R. H. Deng, A. Lafanechere, G. Ungerboeck, and D. J. Costello, Jr., “Trellis coded multidimensional phase modulation,” IEEE Trans, on Inform. Theory, vol. IT-36, No. 1, Jan. 1990.Google Scholar
  5. [5]
    IBM Europe, “Trellis-coded modulation schemes with 8 state symmetric encoder and 90° symmetry for use in data modems transmitting 3–7 bits per modulation interval”, CCITT SG XVII Contribution COM XVII, No. D180, Oct. 1983.Google Scholar
  6. [6]
    U. Black, The V series recommendations, protocols for data communications over the telephone network, McGraw-Hill, New York, 1991.Google Scholar
  7. [7]
    G. Ungerboeck, “Trellis-coded modulation with redundant signal sets, Part II: State of the art,” IEEE Communications magazine, Vol. 25, No. 2, pp.12–21, Feb. 1987.CrossRefGoogle Scholar
  8. [8]
    A. J. Viterbi, J. K. Wolf, E. Zehavi and R. Padovani, “Pragmatic approach to trellis-coded modulation”, IEEE Communications Magazine, pp. 11–19, July 1989.Google Scholar
  9. [9]
    J. K. Wolf and E. Zehavi, “P codes: pragmatic trellis codes utilizing punctured convolutional codes”, IEEE communications Magazinw, pp. 11–19, July 1995.Google Scholar
  10. [10]
    W. H. Paik, S. A. Lery, and C. Heegard, “Method and apparatus for communicating digital data using trellis coded QAM”, US. Patent No. 5,233,629, Aug. 93.Google Scholar
  11. [11]
    M. C. Lin, C. -C Lin, and S. Lin, “Computer Search for binary cyclic VEP codes of odd length upto 65”, IEEE Trans. Inform. Theory, vol. 36, No.4, pp.924–935, July 1990.MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Irving S. Reed
    • 1
  • Xuemin Chen
    • 2
  1. 1.University of Southern CaliforniaLos AngelesUSA
  2. 2.General Instrument CorporationSan DiegoUSA

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