K. Max Wong

 K. Max Wong

K. Max Wong

  • Courses2
  • Reviews2

Biography

McMaster University - Engineering



Experience

  • McMaster University

    Professor Emeritus

    Giving graduate courses and supervising research students

  • Zhengzhou University

    Distinguished University Professor

    K. Max worked at Zhengzhou University as a Distinguished University Professor

  • The University of Edinburgh

    Royal Academy of Engineering Distinguished Visiting Fellow

    K. Max worked at The University of Edinburgh as a Royal Academy of Engineering Distinguished Visiting Fellow

Education

  • University of London, Imperial College of Science & Techology

    BSc(Eng), DIC, PhD, DSc, Life FIEEE, FCAE, FRSC

    Electrical Engineering, Signal Processing
    Electrical Engineering

  • Imperial College

    Visiting Professor



Publications

  • Efficient Design of Optimal Transmitter for MIMO Systems Using Decision Feedback Receivers

    Communications, 2008 24th Biennial Symposium on Digital Object Identifier: 10.1109/BSC.2008.4563223 Publication Year: 2008 , Page(s): 138 - 141

  • Efficient Design of Optimal Transmitter for MIMO Systems Using Decision Feedback Receivers

    Communications, 2008 24th Biennial Symposium on Digital Object Identifier: 10.1109/BSC.2008.4563223 Publication Year: 2008 , Page(s): 138 - 141

  • Optimum 4-QAM relay amplification for the amplify-and-forward half-duplex cooperative wireless system

    Signal Processing (ICSP), 2010 IEEE 10th International Conference on

    We consider an amplify-and-forward half-duplex co-operative wireless system. Specifically, we examine the role of the relay and design an optimum amplification factor for the relay. In the simple case of the message lasting for two symbols, and from the consideration of transmitting from a 4-QAM constellation, we develop an explicit expression of the pair-wise error probability. An optimum design problem can then be formulated so that the optimum amplification factor for the relay can be obtained. The resulting optimum value depends on the signal-to-noise ratio and its relation with the allowable amplification power.