Canonical Correlation Analysis for Knowledge Discovery in Distributed Array Systems
#"Canonical
#Correlation
#Analysis
#for
#Knowledge
#Discovery
#in
#Distributed
#Array
#Systems"
#by
#Dr.
#Hongya
#Ge
#New
#Jersey
#Institute
#of
#Technology
This talk presents our analysis as well as simulation study on the adaptive beamforming and combining techniques applied to a system consisting of distributed antenna arrays. Our analysis reveals the connection between the natural and the practical schemes for data combination in array processing. The important roles played by the canonical correlations, which may or may not exist among multiple data sets in a distributed antenna system, are studied to justify the use of different combining techniques. Maximization and majorization arguments associated with CCA are exploited in our proposed solutions to adaptive beamforming in discovering coherent components existing in data sets collected by distributed arrays.
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- Fairleigh Dickinson University
- Teaneck, New Jersey
- United States 07666
- Building: Auditorium M105, Muscarelle Center
- Click here for Map
- Contact Event Host
- Alfredo Tan, tan@fdu.edu; Hong Zhao, zhao@fdu.edu
- Co-sponsored by School of Computer Sciences and Engineering, FDU
- Starts 19 November 2013 11:00 PM UTC
- Ends 10 December 2013 04:00 PM UTC
- No Admission Charge