2012 IEEE SPS Summer School on Compressive Sensing and MIMO Signal Processing Systems

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News and Resources for Members of the IEEE Signal Processing Society

2012 IEEE SPS Summer School on Compressive Sensing and MIMO Signal Processing Systems

National Tsing Hua University, Hsinchu, Taiwan

2-6 July 2012

WEB: http://spss2012compressmimo.ee.nthu.edu.tw
Email: ymho@mx.nthu.edu.tw

APPLICATION DEADLINE: 11 Jun 2012, http://spss2012compressmimo.ee.nthu.edu.tw


The past decade has witnessed the rapid growth of signal processing capacity for both communication and multimedia applications, such as 4G wideband communication and high-definition TV systems. This phenomenon leads to many potential problems, such as higher sampling power, high signal processing power, and severe interference in the channels. The possible solutions to these problems could be the exploitation of the sparse signal property, the optimization of the channel resource, or the power-efficiency design strategies for the signal processing system realization. The recent compressive sensing technique investigates the sparse signal property and redundant samplings in the traditional Nyquist sampling theory to greatly reduce the sampling and signal processing power via compression. On the other hand, the large-capacity and high-dimension MIMO transmission also faces interference and security problems. How to optimize the channel resource and avoid interference become important issues in the advanced MIMO communication system. In the practice, the signal processing implementation is also going to face the physical limitation of the silicon. The power consumption and signal processing power are the critical problems in raising the signal processing capability for multimedia and communication systems. Thus, compressive sensing-based ADC converter, lower-power DSP technique and multi-core signal processing systems are the possible ways to avoid the problems. Therefore, this summer school provide three main topics, the compressive sensing, the advanced MIMO signal processing, and design and implementation of signal processing systems, as the educational courses for the students and researchers in this area.

This summer school will proceed in the format of lectures and will last for 5 days.  The courses will be delivered by many famous experts in the field. By inviting ten international speakers from USA, Germany, Hong-Kong, Singapore, and Israel, the summer school will cover the three main topics.

  1. Compressive Sensing:
    Dr. Mark Davenport, Stanford University
    Prof. Zhi Tian, Michigan Technology University
    Prof. Yonina Eldar, Technion Israel Institute of Technology
  2. Advanced MIMO Signal Processing:
    Prof. Syed Ali Jafar, University of California, Irvine
    Prof. Ken Ma, Chinese University of Hong Kong
    Prof. Rui Zhang, National University of Singapore
  3. Design and Implementation of Signal Processing Systems:
    Prof. Dr.-Ing. Gerd Ascheid, RWTH Aachen University. Germany?
    Prof. Naresh R. Shanbhag, Univ. of Illinois at Urbana-Champaign
    Prof. Sebastian Hoyos, Texas A&M University


The school will be open to graduate students, Ph.D. students, post-docs, young researchers, senior researchers and practitioners. Both academic and industrial professionals are encouraged to apply at the following website: http://spss2012compressmimo.ee.nthu.edu.tw

The expected school fee will be in the order of $50 (NT1500) for IEEE Signal Processing Society (SPS) student members*, $100 (NT3000) for non-SPS students, $100 (NT3000) for non-student SPS members*, and $200 (NT6000) for non-SPS non-students. The fee will include all lectures (during all five days), handling material, and lecture notes. The application at the summer school website should be done before 11 June 2012.

* You must be an IEEE Signal Processing Society (SPS) Member at the time of registration to receive the IEEE SPS discount. Please visit www.ieee.org/join for details.


The school will be hosted in National Tsing Hua University, Hsinchu, Taiwan. National Tsing Hua University is widely recognized as the best incubator for future leaders in industries as well as academics. Hsinchu is a city in northern Taiwan with a popular nicknamed "The Windy City." The city is about 100 kilometer south of Taipei and is the base for high technology industry in Taiwan. Hsinchu Science and Technology Industrial Park is home to 360 high tech companies including TSMC, UMC, Mediatek, and AU Optronics. Industrial Technology Research Institute (ITRI) is also located in Hsinchu. Hsinchu city is within one to two hours bus ride to famous Yangminshan National Park and National Palace Museum in Taipei. Yanmingshan National Park is a volcanic geographical park with sulfur hotspring resource. National Palace Museum is ranked as the number one sightseeing spot in Taiwan for foreign visitors. The Palace has the largest collection of priceless Chinese art treasure in the world with total 620,000 art objects.


Summer School participants can be hosted at the National Tsing Hua University student DORM at very special rates. Participants can also be hosted in nearby hotels with low rates. More detail information is available on the web site.



Email: ymho@mx.nthu.edu.tw

For additional information please visit http://www.signalprocessingsociety.org/community/seasonal-schools/.

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