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Fady Alajaji, P. Eng.

Professor, Mathematics and Engineering

Department of Mathematics and Statistics
Queen's University at Kingston
Kingston, Ontario, Canada, K7L 3N6
Phone: (613) 533-2423; Fax: (613) 533-2964
E-mail: fady@mast.queensu.ca

Research group: Communications (Applied Mathematics)

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Research Interests

Keywords : Information theory, joint source-channel coding, digital transmission theory, error-control coding, data compression, speech and image coding, image modeling and restoration.

My research interests belong to the general area of information and communication theory. More specifically, I am interested in the coding of information-bearing signals for transmission over noisy communication channels. This problem is addressed at two levels: One objective is to understand and investigate the Shannon theoretic aspect of this problem -- i.e., to determine the fundamental limits of how efficiently one can encode information and still be able to recover it with negligible loss. Another vital objective is to develop new techniques that are appropriate for current and near-term developing technologies -- e.g., achieving reliable transmission of multimedia signals (text, data, speech/audio, image, and video) over wireless communication channels for the establishment of mobile communication systems. Current research activities can be divided into three areas:

  1. Information Theory: Properties of information measures and operational characterization; source and channel coding; analysis of communication systems with memory; communication via contagion, burst-noise channels, modeling of real-world fading channels; channels with feedback; error probablity, cutoff rates, capacity, error exponents and reliability function.

  2. Joint Source-Channel Coding: Design, performance analysis and development of source coding techniques and bandwidth-efficient channel coding schemes for noisy channels; source-dependent channel decoding; channel optimized vector quantization; Turbo codes; hybrid digital-analog vector quantization; MIMO channels and space-time coding.

  3. Applications to Multimedia Communication: Reliable transmission of voice, image and video signals over land mobile radio or satellite channels; modeling and filtering of medical images with applications to Telemedicine.

Research Publications



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Communications and Signal Processing Lab

Math. & Eng. Communications Group