Welcome

NOTICE: Thank you all for joining the summer school. A newer version of the slides for the lecture given by Prof. Gerd Ascheid is available. Please signin (login) and click the "Registration" item in the left menu for downloading the files.

 

NOTICE: The venue is Delta Building (please see "Venue" in the left menu) and the lectures will be given in the lecture theatre in B1.

 

NOTICE: Everyone, welcome to join our Welcome Breakfast in 2nd, July. The breakfast will be ready at AM 8:20. Looking forward to seeing you in Hsinchu!

 

NOTICE: Speaker Update -- Due to speaker's unexpected private reason, the speaker Professor N.R. Shanbhag from UIUC is replaced by Professor Andreas Burg from EPFL. The updated title is "MIMO Receivers: from Algorithms to VLSI Architectures". 

 

NOTICE: the registration deadline is June 11, 2012. If you are planning to atttend this summer school, please finsish your registration (including paying the registration fee) before the deadline. 

 

  (If you are a new user and want to register for the summer school, please first apply a new account by clicking the "New User" button in the left menu. Then,  you can signin (login) with the account just created and click the new appearing "Registration" item in the left menu to do registration. After doing registration, you can click the "Registration" item in the left menu again to check your registration status or modify your registration information.)

 

    The past decade has witnesses 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.

Sponsors

IEEE Signal Processing Society

Intelligent Electronics (IE) Education Consortium (Ministry of Education, Taiwan) (sponsorship pending)

Institute of Information Science, Academia Sinica,Taiwan (sponsorship pending)

Research Center for Information Technology Innovation, Academia Sinica, Taiwan (sponsorship pending)

IEEE Signal Processing Society (sponsorship pending)

NTHU Research and Development Office

NTHU College of Electrical Engineering and Computer Science

NTHU Department of Electrical Engineering

NTHU Department of Computer Science
NTHU Institute of Communications Engineering

NTHU IC Design Technology Center (DTC)
Industrial Technology Research Institute (ITRI), Taiwan


 

Funding Support

IEEE SPS students can apply for the travel grants and have the following benefits:

1. Low registration fee US$50

2. Travel funding support for both local (up to US$50 per person with travel ticket receipt) and non-local (around US$250~US$500 per person with travel ticket receipt) IEEE SPS students. The amount of actual support of the travel funding support depends on the number of applicants.

3. If you are a student but not an IEEE SPS student member, we recommend you to visit http://www.signalprocessingsociety.org/ and then click "join/renew" in the top row of the webpage. The website will lead you to finish applying an SPS student membership.