Yih-Fang Huang's Research

  • Areas of Interests
  • Research Awards
  • A Selected List of Publications

    •

    Areas of Research Interests [Goto Top]

    Dr. Huang's primary research interests are in the general areas of statistical communications and signal processing. His areas of expertise includes signal detection and estimation, parameter estimation, adaptive signal processing, array signal processing, interference suppression for wireless communications, and set-membership filtering (SMF) and identification. Dr. Huang has made fundamental contributions to set-membership identification and filtering with applications to adaptive signal processing. His recent work focused on development of set-membership filtering with applications to adaptive equalization and interference suppression in multiuser communications and MIMO wireless communications. His research group at Notre Dame has recently developed a novel adaptive equalization paradigm, U-SHAPE (Updater-SHared Adaptive Parallel Equalization), and SMART (Set-Membership Adaptive Recursive Techniques), a toolbox for set-membership adaptive filtering. These techniques are viable alternatives to conventional algorithms, such as least-mean-squares (LMS) and recursive least squares (RLS), for interference suppression in multiuser wireless communications as they offer fast tracking at low computational costs. They also have developed novel MMSE parallel interference cancellation techniques, employing SMF for effective channel estimation. Dr. Huang is a recipient of the Golden Jubilee Medal from the Circuits and Systems Society of IEEE in 1999, a Fellow of the IEEE, and is currently a Distinguished Lecturer on Adaptive Signal Processing for Communications of the IEEE Circuits and Systems Society.

    Past and Current Research Awards [Goto Top]

    Since 1982, Dr. Huang has received over $2 million on research funding. The following is a sample list of his research funding sources which include government agencies as well as industry companies.

    Government Agencies

    Industrial Sources

    Selected List of Publications [Goto Top]

    1. E. Fogel and Y. F. Huang
      ``On the Value of Information in System Identification - Bounded Noise Case'', Automatica, Vol. 18, No. 2, pp. 229-238, March 1982.
    2. Y. F. Huang and J. B. Thomas
      ``Signal Detection in Nearly Gaussian Skewed Noise'', J. Acoust. Soc. Amer., Vol. 74, No. 5, pp. 1399-1405, November 1983.
    3. Dasgupta and Y. F. Huang
      ``Asymptotically Convergent Modified Recursive Least-Squares with Data-Dependent Updating and Forgetting Factor for Systems with Bounded Noise'', IEEE Trans. Inform. Theory, Vol. IT-33, No. 3, pp. 383-392, May 1987.
    4. A. K. Rao, Y. F. Huang and S. Dasgupta
      ``ARMA Parameter Estimation Using a Novel Recursive Estimation Algorithm with Selective Updating,'' IEEE Trans. Acoust., Speech, and Signal Processing, Vol. ASSP-38, No. 3, pp. 447-457, March 1990.
    5. S. C. Huang and Y. F. Huang
      ``Learning Algorithms for Perceptrons Using Back Propagation with Selective Updates,'' IEEE Control Systems Magazine, pp. 56-61, April, 1990.
    6. A. K. Rao and Y. F. Huang
      ``Analysis and Applications of Recursive Membership-Set Parameter Estimation,'' Special Issue on Bounded Error Estimation, Mathematics and Computers in Simulation, Vol. 32, Nos. 5 \& 6, pp. 515-526, Dec., 1990.
    7. S. C. Huang and Y. F. Huang
      ``Bounds on the Number of Hidden Neurons in Multilayer Perceptrons'', IEEE Trans. on Neural Networks, Vol. 2, No. 1, pp. 47-55, Jan. 1991.
    8. L. Tong, R. Liu, V. C. Soon and Y. F. Huang
      ``Indeterminacy and Identifiability of Blind Identification'', IEEE Trans. Circuits and Systems, Vol. CAS-38, No. 5, pp. 499-509, May 1991.
    9. V. C. Soon and Y. F. Huang
      ``An Analysis of ESPRIT under Random Sensor Uncertainties'', IEEE Trans. Signal Processing, Vol. 40, No. 9, pp. 2353-2358, September 1992.
    10. A. K. Rao and Y. F. Huang
      ``Analysis of Finite Precision Effects on a Recursive Set Membership Parameter Estimation Algorithm'', IEEE Trans. Signal Processing, Vol. 40, No. 12, pp. 3081-3085, Dec. 1992.
    11. A. K. Rao and Y. F. Huang
      ``Tracking Characteristics of An OBE Parameter Estimation Algorithm'', IEEE Trans. Signal Processing, Vol. 41, No. 3, pp. 1140-1148, March 1993.
    12. S. C. Huang and Y. F. Huang
      ``Principle Component Vector Quantization'', J. Visual Communication and Image Representation, Vol. 4, No. 2, pp. 112-120, June, 1993.
    13. S. C. Huang and Y. F. Huang
      ``A Constrained Vector Quantization Scheme for Real-Time Codebook Retransmission'', IEEE Trans. Circuits and Systems for Video Technology, Vol. 4, No. 1, pp. 1-7, Feb. 1994.
    14. V. C. Soon, L. Tong, Y. F. Huang and R. Liu
      ``A Subspace Method for Estimating Sensor Gains and Phases'', IEEE Trans. Signal Processing, Vol. 42, No. 4, pp. 973-976, April, 1994.
    15. M. M. Ammar and Y. F. Huang
      ``Quantization Based on Statistical Moments for Signal Detection - Design and Analysis'', IEEE Trans. Inform. Theory, Vol. 40, No. 4, pp. 1192-1204, July, 1994.
    16. R. Liu, Y.F. Huang, and X.-T. Ling
      ``A Novel Approach to the Convergence of Neural Networks for Signal Processing'', IEEE Trans. Circuits and Systems, Vol. 42, No. 3, pp.187-190, March, 1995.
    17. W. Zeng, Y.F. Huang and S.C. Huang
      ``Two Greedy Tree Growing Algorithms for Designing Variable Rate Vector Quantizers'', IEEE Trans. Circuits and Systems for Video Technology, Vol. 5, No. 3, June, 1995.
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    Last Updated: July 20, 1995.