Monday
October 24
4:00 - 4:50pm
Covell 216

Dr. Larry Marple
Professor
School of EECS
Oregon State University


Time-Frequency Analysis (TFA) without the cross terms blues

Despite the acclaimed enhanced time-frequency feature detailing  
capability
of quadratic time-frequency analysis techniques in the technical  
literature
(for example, Wigner distributions), the performance with actual  
signals is
often quite poor due to the inability to suppress the croos-term  
artifacts
inherent in quadratic TFAs. This seminar will present a modification of
classic
short-time Fourier transform (STFT) to provide the detailing  
capability of
quadratic TFAs without the cross terms that hide extremely weak signal
features.
The method is based on some high-resolution 2-D linear predictive based
signal
modeling techniques. Examples with communication and radar will be
presented.

Biography: 

Larry Marple received the B.S. and M.E.E. degrees from Rice University
(Houston, TX) and the Engr.D. from Stanford University, all in  
electrical
engineering. He is currently a Professor of ECE at Oregon State  
University,
with research interests in sensor signal processing. Prior to joining  
OSU,
he was for 11 years the Chief Scientist of the Orincon Corporation in  
San
Diego, CA.  He has 31 years of experience in the development and
implementation of digital signal processing algorithms, software, and
hardware for temporal, frequency, and spatial domain signals in
sonar/underwater acoustics, radar, communications, intelligence,  
acoustic
well logging, and ultrasound imaging. He is author of the text DIGITAL
SPECTRAL ANALYSIS  (Prentice Hall, 1987).  He was elected a Fellow of  
the
IEEE in 1989 for "contributions to the theory and application of  
spectral
analysis in digital signal processing."

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