William S. Hodgkiss
Faculty-Emeritus, Electrical and Computer Engineering
Data telemetry, sensor array signal processing, and environmental parameter estimation. Professor Hodgkiss has research interests in adaptive digital signal processing and time series analysis with applications to adaptive array processing; data communications; time-evolving spatial distribution and statistical characterization of ambient ocean noise; propagation of acoustic energy through the water column and its interaction with sediments beneath the ocean and the sea surface; matched-field processing and full-field inversions for water column and seafloor geoacoustic parameters; tropospheric electromagnetic propagation and environmental parameter inversions; and the statistical properties of ambient ocean noise. Among his current projects, Hodgkiss is working on active and passive detection, localization, and tracking of low-level acoustic sources; the use of transiting surface ships as sources of opportunity for the purpose of array and environmental parameter characterization; shallow water ambient ocean noise; underwater data telemetry; and radar refractivity characterization from sea clutter data. Hodgkiss teaches courses in detection theory, array processing, and digital signal processing.
Bill Hodgkiss received his Ph.D. in Electrical Engineering from Duke University in 1975 and joined the UCSD faculty in 1977. He is a Professor in the Graduate Department of the Scripps Institution of Oceanography, an Adjunct Professor in the Department of Electrical and Computer Engineering, and on the staff of the Marine Physical Laboratory at SIO. His work has appeared in the Journal of the Acoustical Society of America, the IEEE Journal of Oceanic Engineering, and other journals. Recent topics have included "Matched field processing with data-derived modes," "Spatial resolution of time reversal arrays in shallow water," and "Effects of tidally driven temperature fluctuations on shallow water acoustic communications at 18kHz."Selected Publications:
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