Professor
Electrical & Computer Engineering
Phone Number(s)
Room Number
A352
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
- 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.