Gary E. Ford

Gary E. Ford

Professor Emeritus and Associate Vice Provost Undergraduate Studies

Phone:
(530) 752-0180
Email:
Website:
http://www.ece.ucdavis.edu/~ford

Education

Ph.D. in Electrical Engineering, University of California Davis, 1976
M.S. in Electrical Engineering, Stanford University, 1968
B.S. Highest Honors in Electrical Engineering, University of California Davis, 1967

Professional Experience

Professor, University of California Davis, Electrical and Computer Engineering, 1994-2011
Associate Professor, University of California Davis, Electrical and Computer Engineering, 1984-94
Assistant Professor, Electrical and Computer Engineering, University of California, Davis, 1976-84
Chief, Test and Evaluation Section, Medical Systems Division, U.S. Air Force School of Aerospace Medicine, 1968-72

Affiliation

Electrical and Computer Engineering Graduate Group
Computer Science Graduate Group

Research Interests

Image processing, pattern recognition, neural networks, digital communications, and digital signal processing.

Research Activities

Gary Ford explores signal and image processing algorithms. His recent work in communications signal processing involved the development and performance analysis of algorithms for multiuser detection of continuous phase modulation signals. An optimum multiuser receiver was developed for detecting asynchronous partial-response PAM signals, generalizing two previously-published receiver algorithms. Another project involved the application of methods of unsupervised pattern recognition to the problem of automatic target cueing (ATC) in hyper-spectral images. An algorithm was developed to extract spatial clusters of spectrally related pixels having specified and distinctive spatial characteristics. It provided an alternative to classical ATC algorithms based on anomaly detection, in which pixels are classified as type anomaly" or background clutter".

Distinctions

Gary Ford received the UC Davis Academic Senate Distinguished Teaching Award in 1984.

Selected Publications

P. A. Murphy, M. Golanbari, G. E. Ford and M. J. Ready, Optimum and reduced complexity multiuser detectors for asynchronous CPM signaling, IEEE Transactions on Wireless Communications, vol. 5, 2006

M. E. Glinsky, G. A. Clark, P. K. Z. Cheng, K. R. S. Devi, J. H. Robinson and G. E. Ford, Automatic event picking in prestack migrated gathers using a probabilistic neural network, Geophysics, vol. 66, pp 1488-1496, 2001.

A.I.El-Fallah and G.E.Ford, Mean curvature evolution and surface area scaling in image filtering, IEEE Transactions on Image Processing, vol.6, no.5, pp.750