Geometrical Ideas in Statistical Signal and Array Processing
Prof. Louis Scharf
University of Colorado at Boulder
Abstract
In this survey of geometries and invariances in signal
processing I will review results in time-frequency
distributions, multisuser communication, signal separation,
equalization, filtering, and subspace tracking (a polyglot
collection, to be sure) and show that in each case there is
a fascinating geometry underlying the linear algebraic
solution. The value of these geometries is that they
illuminate performance questions and suggest methods of rank
reduction that might be used to improve the quality of a
solution.
Bio
Professor Scharf is a Fellow of the IEEE and was awarded the
1995 IEEE Signal Processing Society's Technical Achievement
Award. He also served as a Distinguished Lecturer for the
IEEE Signal Processing Society in 1993-1994.
Time and Location:
September 9, 1998
3:45 P.M. to 4:45 P.M.
Room 4610, Engineering Hall
1415 Engineering Drive
For further information contact:
Professor Barry Van Veen
265-2488 vanveen@engr.wisc.edu