Dr. Wayne Padgett specializes in fixed-point digital signal processing (DSP) programming. He conducts research on real-time DSP, acoustics and image processing, and is leading a student project experimenting with a microphone array. He has worked as a visiting professor for Texas Instruments, Rockwell Collins and Agere Systems. Dr. Padgett is very involved in humanitarian engineering projects and has joined with faculty colleagues to start a course that seeks to bring appropriate technology to developing countries. Outside of the classroom, Dr. Padgett enjoys cycling and has a private pilot certificate. Check out his personal web page.

Senior Member: IEEE Signal Processing Society

Academic Degrees

  • PhD, Georgia Institute of Technology, 1994
  • MS, Georgia Institute of Technology, 1990
  • BEE, Auburn University, 1989

Awards & Honors

  • Senior Member, Signal Processing Society, Institute of Electrical and Electronic Engineers

Publications & Presentations

  • Padgett, W. T. and Yoder, M. A., “Effective Communication: Excellence in a Technical Presentation,IEEE Signal Processing Magazine, Vol. 25 (2), 124-127, 2008
  • Padgett, W. T., “Fixed-Point DSP Implementation: Advanced Signal Processing Topics and Conceptual Learning,” Proceedings of the American Society for Engineering Education Conference, Honolulu, Hawaii, 2007
  • Padgett, W. T., “Teaching Fixed-point Algorithm Development in a Systems Context,” Proceedings of Digital Signal Processing Education Workshop, Teton National Park, Wyo., 297-301, 2006
  • Padgett, W. T., Black, B. A. and Ferguson, B. A., “Low Frequency Wireless Communications System-Infrared Laboratory Experiments,” IEEE Transactions on Education, Institute of Electrical and Electronic Engineers, Vol. 49 (1), 49-57, 2006

Research Experiences

  • Digital Signal Processing consulting and industry collaboration
  • Signal processing education and assessment

Teaching Interests

  • Fixed point signal processing algorithms
  • Microphone array algorithms
  • Adaptive filter algorithms
  • Digital Signal Processing education
  • Humanitarian engineering
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