Publications: Adaptive Filtering

  1. M. L. Honig and H. V. Poor, "Adaptive Interference Mitigation", in Wireless
    Communications: A Signal Processing Perspective, H. V. Poor and G. Wornell,
    Eds., Prentice-Hall, Chapter 2, pp. 64-128, Englewood Cliffs, NJ, 1998.

  2. M. L. Honig and D. G. Messerschmitt, Adaptive Filters: Structures, Algorithms,
    and Applications, Kluwer Academic Publishers, 1985.

  3. W. Xiao and M. L. Honig, ``Large System Transient Behavior of Adaptive Least
    Squares Algorithms
    '', IEEE Transactions on Information Theory, Vol. 51, No. 7,
    pp. 2447-2474, July 2005.

  4. M. L. Honig, G. Woodward, and Y. Sun, ``Adaptive Iterative Multiuser Decision
    Feedback Detection''
    , IEEE Transactions on Wireless Communications, Vol. 3,
    No. 2, pp. 477-485, June 2004.

  5. M. L. Honig and J. S. Goldstein, ``Adaptive Reduced-Rank Interference
    Suppression Based on the Multi-Stage Wiener Filter
    '', IEEE Trans. on Commun.,
    Vol. 50, No. 6, pp. 986-994, June 2002.

  6. G. Rajappan and M. L. Honig, ``Signature Sequence Adaptation for DS-CDMA
    with Multipath
    '', IEEE Journal on Selected Areas in Commun, Vol. 20, No. 2, pp.
    384-395, Feb. 2002.

  7. M. L. Honig, S. L. Miller, M. J. Shensa, and L. B. Milstein, "Performance of
    Adaptive Linear Interference Suppression for DS-CDMA in the Presence of
    Dynamic Fading
    ", IEEE Trans. on Comm., Vol. 49, No. 4, pp. 635-645, April
    2001.

  8. M. L. Honig and M. K. Tsatsanis, "Adaptive Techniques for Multiuser CDMA
    Receivers
    ", IEEE Signal Processing Magazine, Vol. 17, No. 9, pp. 49-61, May
    2000. 

  9. M. L. Honig, "Adaptive Linear Interference Suppression for Packet DS-CDMA",
    European Transactions on Telecommunications, Vol. 9(2), pp. 173-182, March-
    April 1998.

  10. M. L. Honig, U. Madhow, and S. Verdu´, "Blind Adaptive Multiuser Detection",
    IEEE Transactions on Information Theory, Vol. 41, No. 4, pp. 944-960, July 1995.

  11. P. Crespo and M. L. Honig, "Pole-Zero Decision Feedback Equalization with a
    Rapidly Converging Adaptive IIR Algorithm
    ", IEEE Journal on Selected Areas in
    Communications, Vol. 9, No. 6, pp. 817-829, August 1991.

  12. M. L. Honig and D. G. Messerschmitt, "Comparison of Least Squares and
    Stochastic Gradient Lattice Predictor Algorithms Using Two Performance
    Criteria
    ", IEEE Trans. on Acoustics, Speech, and Signal Processing, Vol.
    ASSP-32, No. 2, pp. 441-445, April 1984.

  13. M. L. Honig, "Recursive Fixed-Order Covariance Least-Squares Algorithms",
    Bell System Technical Journal, Vol. 62, No. 10, pp. 2961-2991, Dec. 1983.

  14. M. L. Honig, "Convergence Models for Lattice Joint Process Estimators and Least
    Squares Algorithms
    " IEEE Trans. on Acoustics, Speech, and Signal Processing,
    Vol. ASSP-31, No. 2, 415-425, April 1983.

  15. M. L. Honig and D. G. Messerschmitt, "Comparison of Adaptive Linear
    Prediction Algorithms in ADPCM
    ", IEEE Trans. on Communications,
    Vol. COM-30, No. 7, pp. 1775-1785, July 1982.

  16. M. L. Honig and D. G. Messerschmitt, "Convergence Properties of an Adaptive
    Digital Lattice Filter
    ", IEEE Trans. on Acoustics, Speech, and Signal Processing,
    Vol. ASSP-29, No. 3, pp. 642-653, June 1981.

  17. F. Rubio, D. Guo, M. L. Honig, and X. Mestre, "Asymptotic diversity analysis of
    MIMO systems with limited training
    ", International Conference on Ultra Modern
    Telecommunications (ICUMT), St. Petersburg, Russia, October 2009.

  18. F. Rubio, D. Guo, and M. L. Honig, "On Optimal Training and Beamforming in
    Uncorrelated MIMO Systems with Feedback
    ", Proc. Conf. on Information
    Sciences and Systems, Princeton University, March 2008.

  19. A. Eloff, G. Kendall, and M. L. Honig, "Diffuse Field Reverberation Modeled as a
    Flat Fading Channel
    ", Audio Engineering Society Convention Paper, New York,
    New York, Oct. 2003.

  20. W. Xu, M. L. Honig, J. Zeidler, and L. B. Milstein, ``Subspace Adaptive Filtering
    Techniques for Multi-sensor DS-CDMA Interference Suppression in the Presence
    of a Frequency-Selective Fading Channel
    '', Asilomar Conf. on Signals, Systems,
    and Computers, Pacific Beach, Ca. Nov. 1998.

  21. R. Ratasuk and M. L. Honig, ``Adaptive Multiuser Decision-Feedback
    Demodulation for GSM
    '', Allerton Conf. on Communication, Control, and
    Computing, Monticello, IL, Sept. 1998.

  22. M. L. Honig, ``A Comparison of Subspace Adaptive Filtering Techniques for DSCDMA
    Interference Suppression
    '', 1997 Proc. Military Conference on
    Communications, pp. 836-840, Monterey, Ca., Nov. 1997.

  23. M. L. Honig, R. Ratasuk, and S. Verdu´, ``Blind Adaptive Space-Time Linear
    Multiuser Detection
    '', Proc. Allerton Conference, Monticello, IL, Oct. 1997.

  24. M. L. Honig, "Orthogonally Anchored Blind Interference Suppression Using the
    Sato Cost Criterion
    ", IEEE Int. Symposium on Information Theory, Whistler,
    British Columbia, Sept. 1995.

  25. M. L. Honig, "A Rescue Operation to Enhance the Near-Far Adaptability of
    Linear MMSE Detectors for DS-CDMA
    ", Proc. Information Theory Workshop,
    Rydzyna, Poland, June 1995.

  26. M. L. Honig, "Rapid Detection and Suppression of Interference in DS-CDMA",
    IEEE Int. Conference on Acoustics, Speech, and Signal Processing, Detroit, MI,
    May 1995.