由信息与通信工程学院主办的“信通论坛”本次邀请到清华-伯克利深圳学院Ercan E. Kuruoğlu教授来校进行学术交流，具体安排如下，欢迎感兴趣的师生参加。
一、主 题：Is the Gaussian distribution "Normal"?: Signal Processing with alpha-Stable Distribution Models
二、主讲人：Ercan E. Kuruoğlu (清华-伯克利深圳学院，Professor )
三、时 间：2021年10月22日（周五）下午14:00
四、地 点：科研楼C218
五、主持人：崔国龙 教授
六、内容简介：
There are solid reasons for the popularity of Gaussian models. They are easy to deal with, lead to linear equations, and they have the theoretical justification given by the Central Limit theorem. However, many signals, man-made or natural, exhibit characteristics too impulsive or skewed to be successfully accommodated by the Gaussian model. The wide spread power laws in the nature, in internet statistics, in linguistics, traffic data are very well known. In this talk we will challenge the “Normality” of the Gaussian distribution and will discuss the alpha‐stable distribution family which satisfies the generalised Central Limit Theorem. Alpha‐Stable distributions have received wide interest in the signal processing/time series analysis community and became state of the art models for impulsive noise in PLC, wireless and sonar and for internet traffic in the last 25 years since the influential books of Samorodnitsky and Taqqu (1994) and Nikias and Shao (1995). We will provide the fundamental theory and discuss the rich class of statistics this family enables us to work with including fractional order statistics, log statistics and extreme value statistics. We will present various application areas where alpha‐stable distributions had important success such as teletraffic modelling, Synthetic Aperture Radar imaging, computational biology and astronomy. We will identify open problems which we hope would lead to fruitful discussion on further research on this family of probability distributions.
七、主讲人简介
Ercan E. Kuruoğlu received MPhil and PhD degrees in information engineering from the University of Cambridge, United Kingdom, in 1995 and 1998, respectively. In 1998, he joined Collaborative Multimedia Research Lab of Xerox Research Center Europe, Cambridge. He was an ERCIM fellow in 2000 with INRIA-Sophia Antipolis, France. In January 2002, he joined ISTI-CNR, Pisa, Italy where he became Senior Researcher in 2006 and Chief Scientist in 2020. He served an associate editor for the IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing. He is currently the Editor-in-Chief of Digital Signal Processing: A Review Journal. He acted as a technical co-chair for EUSIPCO 2006 and a tutorials co-chair of ICASSP 2014. He is a member of the IEEE Technical Committees on Signal Processing Theory and Methods, Machine Learning for Signal Processing and Image, Video and Multidimensional Signal Processing. He is a member of IEEE Signal Processing Society Data Challenges Committee. He was a plenary speaker at ISSPA 2010, IEEE SIU 2017, Entropy 2018, MIIS 2020 and tutorial speaker at IEEE ICSPCC 2012. He was a Chinese Government 111 Project Foreign Expert in 2007-2011. He was an Alexander von Humboldt Experienced Research Fellow in the Max Planck Institute for Molecular Genetics (2013-2014). Currently, he is a Visiting Professor in Tsinghua-Berkeley Shenzhen Institute. His research interests are in the areas of statistical signal and image processing and information theory with applications in remote sensing, computational biology, telecommunications, earth sciences and astrophysics.
