William A. Gardner

Professor Emeritus

(530) 752-8428
(530) 752-8428

Professor Gardner has developed a statistical theory of spectral redundancy for random data from periodic phenomena, which are called cyclostationary processes. Applications include identification of linear and nonlinear time-invariant and multiply-periodic time-variant systems with random excitation as well as detection, classification, estimation and extraction of signals consisting of randomly modulated periodic pulse-train and sine-wave carriers. Research focuses on developing new signal processing theory and methods, including blind adaptive frequency-shift filtering for cochannel interference removal, blind adaptive spatial filtering, super-resolution direction finding and spectral redundancy analysis for signal detection and classification, all for modulated random signals buried in noise and / or severely corrupted by interference.

Research Group Affiliation: Information Systems