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Victor DeBrunner, Ph.D.

Victor DeBrunner, Ph.D.
Professor
Education
  • Ph.D., Electrical Engineering, Virginia Polytechnic Institute and State University, 1990
  • M.S., Electrical Engineering, Virginia Polytechnic Institute and State University, 1986
  • B.S., Electrical Engineering, Auburn University, 1984
Research Interests
  • Signal Processing
  • Image Processing
  • Pattern Recognition
  • Ghuman, K., & DeBrunner, V. E. (2013). Hirschman Uncertainty with the Discrete Fractional Fourier Transform. In 2013 Asilomar Conference on Signals, Systems, and Computers (pp. 1306-1310). IEEE.
  • Liu, G., & DeBrunner, V. E. (2013). Spectral estimation with the Hirschman optimal transform filter bank and compressive sensing. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 6230-6233). IEEE.
  • Mukherjee, S., DeBrunner, L. S., & DeBrunner, V. E. (2013). A Hardware Efficient Technique for Linear Convolution of Finite Length Sequences. In 2013 Asilomar Conference on Signals, Systems, and Computers (pp. 515-519). IEEE.
  • Ghuman, K., & DeBrunner, V. E. (2012). Hirschman Uncertainty Using Rényi, Instead of Shannon, Entropy is Invariant to the Rényi Entropy Order. In Proceedings of the 2012 Asilomar Conference on Signals, Systems, and Computers. IEEE.
Publications
  1. Ghuman, K., & DeBrunner, V. E. (2013). Hirschman Uncertainty with the Discrete Fractional Fourier Transform. In 2013 Asilomar Conference on Signals, Systems, and Computers (pp. 1306-1310). IEEE.
  2. Liu, G., & DeBrunner, V. E. (2013). Spectral estimation with the Hirschman optimal transform filter bank and compressive sensing. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 6230-6233). IEEE.
  3. Mukherjee, S., DeBrunner, L. S., & DeBrunner, V. E. (2013). A Hardware Efficient Technique for Linear Convolution of Finite Length Sequences. In 2013 Asilomar Conference on Signals, Systems, and Computers (pp. 515-519). IEEE.
  4. Ghuman, K., & DeBrunner, V. E. (2012). Hirschman Uncertainty Using Rényi, Instead of Shannon, Entropy is Invariant to the Rényi Entropy Order. In Proceedings of the 2012 Asilomar Conference on Signals, Systems, and Computers. IEEE.