Current Research Projects
- Low Power Digital Signal Processing Implementations
- Designing Multipliers for Digital Signal Processing Algorithms
- Estimating Bridge Displacement
Dr. Linda DeBrunner was born in Huntsville, AL, on April 28, 1962. She received a bachelor's in electrical engineering degree from Auburn University in 1984, and M.S. and Ph.D. degrees in electrical engineering from Virginia Tech in 1986 and 1991, respectively.
She joined the faculty at Florida State University in August 2006, where she serves as a Professor in Electrical and Computer Engineering at the FAMU-FSU College of Engineering. She was a faculty member at the University of Oklahoma from 1990-2006, where she left as a Professor of Electrical & Computer Engineering. Her research interests include digital signal processing hardware, special-purpose digital systems, and computer arithmetic.
DeBrunner has received over $6 million in external funding since 1990. Funding sources include the National Science Foundation, the Office of Naval Research, the Federal Highway Administration, as well as state-based funding sources, and private companies. She has published more than 50 refereed papers.
DeBrunner has been twice named Favorite Professor in Electrical and Computer Engineering. She is an associate editor for the Journal of Circuits, Systems, and Computers and serves on the steering committee for the Asilomar Conference on Signals, Systems, and Computers. She also serves on the IEEE Circuits and Systems Society Technical Committee for Digital Signal Processing, as well as the Technical Committee for VLSI Systems & Applications. She is a senior member of the Institute of Electrical and Electronics Engineers.
Mookherjee, Soumak; DeBrunner, Linda S.; DeBrunner, Victor, "A hardware efficient technique for linear convolution of finite length sequences," 2013 Asilomar Conference on Signals, Systems and Computers, 2013, pp.515-519, doi: 10.1109/ACSSC.2013.6810331
R. Guo and L. S. DeBrunner, "A novel fast canonical-signed-digit conversion technique for multiplication," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, pp.1637-1640, doi: 10.1109/ICASSP.2011.5946812
K. Johansson, O. Gustafsson, L. S. DeBrunner and L. Wanhammar, "Minimum adder depth multiple constant multiplication algorithm for low power FIR filters," 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011, pp. 1439-1442, doi: 10.1109/ISCAS.2011.5937844.
V. Kandula, L. DeBrunner, V. DeBrunner and M. Rambo-Roddenberry, "Estimating bridge displacement from acceleration using modal analysis and the minimum description length principle," 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011, pp. 1057-1061, doi: 10.1109/ACSSC.2011.6190174.
R. Guo and L. S. DeBrunner, "Two High-Performance Adaptive Filter Implementation Schemes Using Distributed Arithmetic," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 58, no. 9, pp. 600-604, Sept. 2011, doi: 10.1109/TCSII.2011.2161168.