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Events for July 18, 2011
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Six Sigma Black BeltMon, Jul 18, 2011
Executive Education
Conferences, Lectures, & Seminars
Abstract: This course teaches you the advanced problem-solving skills you'll need in order to measure a process, analyze the results, develop process improvements and quantify the resulting savings. Project assignments between sessions require you to apply what youâve learned. This course is presented in the classroom in three five-day sessions over a three-month period (July 18-22; August 15-19; and September 12-16, 2011).
Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn IIEâs Six Sigma Black Belt Certificate.This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.
NOTE: Participants must bring a laptop computer running Microsoft Office® to the seminar.
More Info: http://mapp.usc.edu/professionalprograms/ShortCourses/SixSigmaBlackBelt.htmAudiences: Registered Attendees
Contact: Viterbi Professional Programs
Event Link: http://mapp.usc.edu/professionalprograms/ShortCourses/SixSigmaBlackBelt.htm
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Meet USC: Admission Presentation, Campus Tour, & Engineering Talk
Mon, Jul 18, 2011
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process; a student led walking tour of campus and a meeting with us in the Viterbi School. Meet USC is designed to answer all of your questions about USC, the application process and financial aid. Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m. Please visit https://esdweb.esd.usc.edu/unresrsvp/MeetUSC.aspx to check availability and make an appointment. Be sure to list an Engineering major as your "intended major" on the webform!
Location: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Everyone Is Invited
Contact: Viterbi Admission
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Wireless Channel Uncertainty in Relay-Assisted Communication and Distributed Detection Systems
Mon, Jul 18, 2011 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Azadeh Vosoughi, University of Rochester
Talk Title: Wireless Channel Uncertainty in Relay-Assisted Communication and Distributed Detection Systems
Abstract: One of the main challenges in wireless communications is coping with channel uncertainty. Dealing with this uncertainty, and the limitations it imposes, is tightly related to the specific system and its application. In this talk, we consider two systems, namely a wireless bi-directional relay-assisted communication system and a wireless distributed detection system. We study the impacts of channel uncertainty on the performance limits of these two systems and investigate optimal transceiver designs that minimize these impacts.
For the bi-directional relay-assisted communications we consider a training-based system, in which receivers learn the channels via employing dedicated pilot symbols. Assuming Gaussian inputs and block Rayleigh fading channel model, we study the trade-off between the accuracy and the bandwidth/energy costs of channel estimation and explore optimal transmit resource allocation, subject to network power constraint. We consider Cramer-Rao lower bound for channel estimation, sum-rate and outage probability bounds as the performance metrics.
Next, we discuss the effects of channel uncertainty on the design and performance of a wireless distributed detection system that is tasked with solving a binary hypothesis testing problem. We consider systems with training-based and blind channel estimation and coherent/non-coherent receptions. We investigate the optimal data fusion rules that maximize the overall system detection reliability and error exponent. Furthermore, we present and compare several detection and data fusion designs that exploit diversity to combat channel uncertainty and enhance system performance.
Biography: Azadeh Vosoughi is Wilmot Assistant Professor in the Department of Electrical and Computer Engineering at the University of Rochester. She received her BS degree from Sharif University of Technology, Tehran, Iran, in 1997, her MS degree from Worcester Polytechnic Institute, Worcester, MA, in 2001, and her PhD degree from Cornell University, Ithaca, NY, in 2006, all in Electrical Engineering. Her research interests lie in the areas of wireless relay-assisted communications, distributed detection and estimation, and distributed source coding and compression. She was the recipient of the Furth award in 2006 and was appointed as Wilmot Assistant Professor in 2009 at the University of Rochester. Dr. Vosoughi received the NSF CAREER award in 2011 for her research on the integration of signal processing and communications for distributed detection systems.
Host: Urbashi Mitra, ubli@usc.edu, EEB 536, x04667
More Information: Vosoughi.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
