Conferences, Lectures, & Seminars
Events for May
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Rate Regions for Multiple Access Relay Channels with Relay-Source Feedback
Wed, May 05, 2010 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jie Hou,
Institute for Communications Engineering,
Technical University of MunichAbstract: For the multiple-access relay channel with relay-source feedback,
we derive an outer bound on the capacity region. We also derive an
achievable rate region which is in general larger than the capacity region
without feedback. The presence of the
feedback enables the sources to understand each other¹s messages, which in
turn allows the sources to cooperate to resolve the residual uncertainty at
the receiver in an efficient way. At the same time, independent fresh
information from the sources is superimposed upon the resolution
information.Biography: Jie Hou received the Dipl.-Ing. degree in electrical engineering
from the Technical University of Munich in 2008. He is currently working
towards his Ph.D. degree at the Institute for Communications Engineering at
the Technical University of Munich. His research interests are multiuser
information theory and practical code design.Host: Prof. Gerhard Kramer,gkramer@usc.eduLocation: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Two Directions on Next Generation Video Coding Standard
Fri, May 07, 2010 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Wen Gao,
Peking UniversityAbstract:Video coding is one of the important technological advancements that have made a great difference to our lives. In the past decades, the development of efficient coding techniques has made a big contributes to industry, such as digital video, wireless or internet video, 3D video and so on, many techniques have been developed and evolved through several generations of video coding standards, e.g., MPEG-1/2/4, H.26x, VC-1, and AVS. The movement of developing next-generation video coding standard is just becoming hot, which provides the challenges and opportunities equally to all researchers in this field. There are two key activities for the next generation of video coding standard, one is based on high performance, another one based on IP consideration. In this talk, the state of art of technologies for two directions will be reviewed, and future steps will be discussed.Biography: Wen Gao received his Ph.D. degree in electronics engineering from the University of Tokyo in 1991. He joined with the Harbin Institute of Technology from 1991 to 1995, as professor, chairman of department of computer science. He joined with Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), as professor from 1996 to 2005. During his career at CAS, he served as the managing director of ICT from 1998 to 1999, the vice president of Graduate School of Chinese Academy of Sciences from 2000 to 2004, the vice president of University of Science and Technology China from 2000 to 2003. He is joining with the Peking University as professor since 2006. Dr. Gao is working at the areas of image and video processing, in particular at video coding and video analysis. He is the leader of Chinese National Body for MPEG standard, as well as the funder of AVS standard. He is an IEEE fellow.Hosted by Professor C.-C.Jay Kuo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia Veal
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Fully-passive wireless MEMS neural recorder
Mon, May 10, 2010 @ 11:30 PM - 12:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Junseok Chae, Arizona State UniversityAbstract:
Current wireless neuro-recording microsystems employ multi-component packages comprised of sophisticated circuitry located between the scalp and skull, which is then wired to micromachined electrode arrays implanted into the cortex of the brain. In order to remove these interconnects and improve signal acquisition quality some have monolithically integrated the circuits onto the electrodes and/or fabricated die-level post-CMOS electrodes on-chip. These advancements make it possible to monitor in-vivo potentials with extremely high spatial and temporal resolution. Nevertheless, challenges remain due to the complexity of wireless telemetry.
In this talk, we present an alternative, significantly less complex microsystem for passive and wireless neuro-recording consisting of only two varactors, three MIM capacitors, and an on-chip planar antenna. The wireless microsystem consists of an implantable circuit or "tag" to backscatter data to an external interrogator that supplies the fundamental carrier. The backscattering circuit relies solely on its nonlinear components, varactor diodes, which mix and backscatter neuro-potentials with the supplied carrier. The wireless microsystem was demonstrated using emulated and in-vivo neuro-potentials as low as 500 ìVP-P and up to 3 kHz.Biography:
Junseok Chae received the B.S. degree in metallurgical engineering from the Korea University, Seoul, Korea, in 1998, and the M.S. and Ph.D. degrees in EECS (Electrical Engineering and Computer Science) from the University of Michigan, Ann Arbor, in 2000 and 2003, respectively. After a couple of years of being research fellow at Michigan, he is now at Arizona State University as an assistant professor in electrical engineering. His areas of interest are MEMS for biomedical applications.
He received the 1st place prize and the best paper award in DAC (Design Automation Conference) student design contest in 2001. He has published over 75 journal and conference articles, one book, two book chapters, and holds two US patents. He received NSF CAREER award on MEMS protein sensor array.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Measurement of Bragg-Wavelength Distribution in a Long-Length Fiber Bragg Grating Based on Synthesis
Fri, May 14, 2010 @ 04:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Koji Kajiwara,
Univ. of Tokyo JapanAbstract: We proposed a scheme for measuring Bragg-wavelength distribution inside a long-length fiber Bragg grating (FBG) using synthesis of optical coherence function. Synthesis of optical coherence function is one of the reflectometry techniques based on an interferometer. By modulating the oscillating frequency of the light source in a sinusoidal waveform, an optical coherence function with periodical delta-function like peaks is synthesized. This peak is swept through the measurement range, a long-length FBG, to know the Bragg wavelength distribution inside a long-length FBG. The center frequency of the light source is additionally swept in a saw-tooth waveform to measure the shape of the local reflection spectra inside the FBG. This technique is applicable to distributed strain and temperature sensor by obtaining the Bragg wavelength distributionHost: Alan Willner, willner@usc.edu, EEB 538, x04664
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
A Rate-Distortion Perspective on Multiple Decoding Attempts for Reed-Solomon Codes
Mon, May 24, 2010 @ 02:00 AM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Henry Pfister,
School of Engineering, Texas A&M*Monday*, May 24th, 2010
2:00pm-3:00pm
HED 116Abstract: Recently, a number of authors have proposed decoding schemes for Reed-Solomon (RS) codes based on multiple trials of a simple RS decoding algorithm. In this paper, we design and analyze these multiple-decoding algorithms using tools from rate-distortion (RD) theory. By defining an appropriate distortion measure between (generalized) error patterns and (generalized) erasure patterns, one finds that errors-and-erasures RS decoding succeeds if and only if the distortion is less than a fixed threshold.Finding the best set of (generalized) erasure patterns turns out to be a covering problem which is solved asymptotically by RD theory. The Blahut-Arimoto algorithm is extended to handle independent non-identical sources and used to find the optimal distribution for the erasure-pattern codebook. Simulation results show that this approach outperforms previous approaches for a fixed number of decoding trials.Since this approach is asymptotic in the block length, it does not lead to precise theoretical statements for any particular RS code. An extension, based on the rate-distortion exponent (RDE), allows one to directly minimize the exponential decay rate of the error probability. The RDE method enables rigorous bounds on the error probability for finite-length RS codes and modest performance gains are observed via simulation. In this case, the Arimoto algorithm is modified to handle independent non-identical sources and used to find the optimal codebook distribution.This is joint work with Phong S. Nguyen and Krishna R. Narayanan.Biography: Henry was born in Redondo Beach, CA and enjoyed an unproductive California youth playing volleyball and surfing.He received his Ph.D. in electrical engineering from UCSD in 2003 and he joined the faculty of the School of Engineering at Texas A&M University in 2006. Prior to that he spent two years in R&D at Qualcomm, Inc. and one year as a post-doc at EPFL.He received the NSF Career Award in 2008 and was a coauthor of the 2007 IEEE COMSOC best paper in Signal Processing and Coding for Data Storage.His current research interests include information theory, channel coding, and iterative decoding with applications in wireless communications and data storage.Host: Alex Dimakis, dimakis [at] usc.eduLocation: Hedco Petroleum and Chemical Engineering Building (HED) - 116
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Working Multimedia on the Web: A Yahoo Perspective
Wed, May 26, 2010 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Abstract:
Without a doubt the Internet has changed the way people consume multimedia data. But it also brings a wealth of data and new opportunities for multimedia-information retrieval services. Our goal is to connect users with their entertainment and information needs.The data is both plentiful and noisy. We have billions of ratings by users about their interests. On one hand, the large amount of data means we can build robust models. On the other hand, the data does come from people, with all their idiosyncratic behaviors and opinions. This wealth of personal data---we have to assume it is all correct---sometimes means what we think it means and other times represents personal behaviors unrelated to anybody else's opinion. Separating out the signal from the noise is the new frontier for web sciences.I will illustrate my talk with several kinds of technologies we find interesting, drawing from successes we have had from all types of multimedia. These approaches impact recommendations, tagging, and search. Our approaches draw heavily from the world of machine learning, often taking novel directions because of the size of our datasets. The frontiers of web science are wonderful.Bio:
Malcolm Slaney is a principal scientist at Yahoo! Research Laboratory. He received his PhD from Purdue University for his work on computed imaging. He is a coauthor, with A. C. Kak, of the IEEE book Principles of Computerized Tomographic Imaging. This book was recently republished by SIAM in their Classics in Applied Mathematics Series. He is coeditor, with Steven Greenberg, of the book Computational Models of Auditory Function. Before Yahoo!, he has worked at Bell Laboratory, Schlumberger Palo Alto Research, Apple Computer, Interval Research, and IBMs Almaden Research Center. He is also a (consulting) Professor at Stanfords CCRMA where he organizes and teaches the Hearing Seminar. His research interests include auditory modeling and perception, multimedia analysis and synthesis, music similarity and audio search, and machine learning. For the last several years he has led the auditory group at the Telluride Neuromorphic Workshop.Malcolm is a Fellow of the IEEE.Hosts: Professor Shrikanth Narayanan, Dr. Kyu Han, and Samuel Kim
Location: Ronald Tutor Hall of Engineering (RTH) - 320
Audiences: Everyone Is Invited
Contact: Mary Francis
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
