教育部資通訊人才培育先導型計畫-無線通信教學推動聯盟中心 97年度國外學者短期課程 Convex Optimization for Wireless Communications and Signal Processing 97/12/19~12/21 (週五~週日) Abstract Convex optimization has recently emerged as a powerful technique in wireless communications and signal processing. It has been proven to be an important tool for solving problems arising from various applications, providing solutions to a broad spectrum of areas such as multi-antenna and multiuser communications, networking, sensor networks, array processing, digital filtering, compressed sensing, and biomedical engineering. Its prevalence may be demonstrated by the fact that there have been various workshops, special journal issues, and special conference sessions dedicated to this subject. There are two merits that lead to its present success. First, many seemingly difficult, nonconvex optimization problems encountered in applications can be reformulated as convex optimization problems, the globally optimal solution of which can be numerically found by reliable, readily available algorithms (usually the interior-point algorithms). Second, some very hard problems can essentially be approximated by convex optimization in a high-performance efficient fashion. Biography vProf. Daniel P. PALOMAR Dept of Electronic & Computer Engineering, The Hong Kong University of Science and Technology Daniel P. Palomar received the Electrical Engineering and Ph.D. degrees (both with honors) from the Technical University of Catalonia (UPC), Barcelona, Spain, in 1998 and 2003, respectively. He is an Assistant Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology, Hong Kong, and a member of the Center for Wireless Information Technology at HKUST. Dr. Palomar received a 2004/06 Fulbright Research Fellowship; the 2004 Young Author Best Paper Award by the IEEE Signal Processing Society; (co-recipient of) the 2006 Best Student Paper Award at ICASSP'06; the 2002/03 best Ph.D. prize in Information Technologies and Communications by the Technical University of Catalonia (UPC); the 2002/03 Rosina Ribalta first prize for the Best Doctoral Thesis in Information Technologies and Communications by the Epson Foundation; and the 2004 prize for the best Doctoral Thesis in Advanced Mobile Communications by the Vodafone Foundation and COIT. vProf. Wing Kin, Ken MA Department of Electronic Engineering, Chinese University of Hong Kong Wing-Kin Ma received the B.Eng. degree (with First Class Hons.)in electrical and electronic engineering from the University of Portsmouth, Portsmouth, U.K., in 1995, and M.Phil. and Ph.D. degrees, both in electronic engineering, from the Chinese University of Hong Kong (CUHK), Hong Kong, in 1997 and 2001, respectively. He is currently an Assistant Professor in the Department of Electronic Engineering, CUHK. Since October 2007, he has been appointed as an Associate Editor of the IEEE Transactions on Signal Processing. 課程大綱（英文授課） 12月19日 Day 1 09:30--12:00 am Theory: Convex optimization basics 13:30--17:30 pm Representative convex optimization problems in applications: linear program, second order cone program, and semidefinite program; Lagrangian duality 12月20日 Day 2 09:30--12:00 am Numerical methods: Interior-point methods, how to use practical software toolboxes for convex optimization 13:30--17:30 pm Applications in wireless communications: MIMO transceiver design, multi-antenna transmit downlink beamforming, power control in cellular networks, MIMO detection, network utility maximization for internet protocols 12月21日 Day 3 09:30--12:00 am Applications in signal processing: digital filter design, norm minimization (including applications such as compressed sensing), robust beamforming for array processing, blind image separation, sensor network localization 13:30--17:30 pm Advanced topics: primal/dual decomposition techniques, semidefinite programming relaxation 六、報名方式: 1. 地點：國立交通大學 工程四館B1國際會議廳 新竹市大學路1001號 2. 費 用：原價3,500元，產學聯盟＆全職教師2,500元，學生&聯盟中心種子教師1,200元。 v繳費後恕不接受退費 v課程當天提供午餐、講義、免費停車券 3. 截止日期：請於12月16日（二）前完成報名與繳費(以郵戳為憑) 4. 報名方法：請洽詢電話：(03)573-1747或(03)513-1450，傳真：(03)572-4956 5. 報名網址：http://cnc.cm.nctu.edu.tw 主辦單位：教育部 資通訊人才培育先導型計畫 – 無線通信教學推動聯盟中心、 、國立交通大學『通訊與資訊軟體技術人才培訓計畫』 協辦單位：國立交通大學電信工程學系、財團法人交通大學電信工程發展文教基金會 --

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