ÃæÏò´óÊý¾ÝµÄÍøÂçÐÅÏ¢´¦Ö᪡ªÍ¨Ñ¶Ñ§Ôº

2013.10.23

Ͷ¸å£ºÎâ½ø²¿ÃÅ£ºÍ¨Ñ¶ÓëÐÅÏ¢¹¤³ÌѧԺä¯ÀÀ´ÎÊý£º

»î¶¯ÐÅÏ¢

¹¦·ò£º 2013Äê11ÔÂ01ÈÕ 10:00

µØÖ·£º µ¢¸éÐ£ÇøÐн¡Â¥1018ÊÒ

Ðн¡½²Ì³Ñ§Êõ½²×ù

µÚ122ÆÚ

¹¦·ò:   2013Äê11ÔÂ1ÈÕ£¨ÖÜÎ壩ÉÏÎç10£º00

µØÖ·:   µ¢¸éÐ£ÇøÐн¡Â¥1018ÊÒ

½²×ù:   ÃæÏò´óÊý¾ÝµÄÍøÂçÐÅÏ¢´¦ÖÃ

Ñݽ²Õß:  ÃÀ¹úTexas A&M´óѧ ´ÞÊï¹â ¸±½ÌÊÚ

Ñݽ²Õß¼ò½é£ºShuguang Cui received his Ph.D in Electrical Engineering from Stanford University, California, USA, in 2005, M.Eng in Electrical Engineering from McMaster University, Hamilton, Canada, in 2000, and B.Eng. in Radio Engineering with the highest distinction from Beijing University of Posts and Telecommunications, Beijing, China, in 1997. He is now working as an associate professor in Electrical and Computer Engineering at the Texas A&M University, College Station, TX, and as a visiting professor at Shanghai Tech University, Shanghai, China. His current research interests focus on big data oriented information processing over networks.

 

½²×ùÌáÒª£º

In this talk we will focus on large-scale signal processing and information delivery over networks. We will start with the highlights of some key challenges, and argue that one promising solver is distributed information processing and delivery. Afterwards, we will instantiate the problem with several concrete examples. Namely, the large-scale distributed estimation problem, distributed detection problem, and distributed storage problem. We will conclude with some main lessons learned so far.

 

 

Ó­½Ó¿í´óÀÏʦºÍѧÉú²ÎÓ룡
¡¾ÍøÕ¾µØÍ¼¡¿