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Bradley W. Dickinson

I joined the Princeton faculty in 1974 after completing a Ph.D. at Stanford University. From 1991 to 1994 I served as associate dean for academic affairs of the School of Engineering and Applied Science. My research interests include signal, image, and video processing; system theory; stochastic processes; neural networks; and sensory processing and integration.

Recent work has investigated video processing that exploits such temporal characteristics of human vision as forward masking. Adaptive selection of reference frame positions based on scene-change detection has been used to improve the performance of motion-compensated video coding. This approach has been implemented both within the MPEG standard specifications and, for applications such as packet video transmission, as a part of a new subband coding system. Studies of audio processing that uses spatio-temporal characteristics of multiple and moving sound sources have been initiated. Digital signal processing methods offer great potential for therapeutic treatment of individuals with certain central auditory processing dysfunctions. Particularly promising are cases where therapy can be based on the integration of auditory inputs that are designed to be consistent (or inconsistent!) with the vestibular and proprioceptive sensory inputs arising from tasks involving balance and movement. The application of system theory to signal processing problems is an ongoing topic of research. Recent work has involved the use of truncated Volterra series models for discrete-time nonlinear systems to describe the behavior of neurons in the visual cortex.

I am the author of the book Systems: Analysis, Design, and Computation (Prentice-Hall, 1991), and a founding coeditor of the journal Mathematics of Control, Signals, and Systems (Springer-Verlag). My work includes over 100 published technical papers and two patents in the area of video data compression. I am a member of Tau Beta Pi and a fellow of IEEE (1987).

Subband video coder using temporally adaptive motion interpolation