报告题目：Graph Signal Processing: Its Mathematical Theory and Application

主 讲 人：杨力华

单 位：中山大学

时 间：12月6日8:30

腾 讯 ID：893-159-696

摘 要：

Graph signal processing has been paid enough attention and developed rapidly in recent years. Traditional signal is defined in the real axis or high-dimensional Euclidean space. With the rapid increase of Internet data, data cannot always be regarded as classical functions. A useful model is the signals on graphs. To process this kind of signals, we need to extend the classical Fourier transform, wavelet transform to the graph setting. Many problems in classical signal processing, such as time-frequency analysis, function approximation, sampling and reconstruction theory, need to be established. In this talk, we will introduce some of our recent works on the theory and applications in this field.

简 介：

杨力华，中山大学数学学院教授、博士生导师。1995年在中山大学获得博士学位，1996-1998年在中科院数学所博士后流动站工作。1998年3月入职中山大学至今。研究领域为逼近论，信号处理与机器学习，发表论文120余篇，合作出版专著一本，译著三本，教材一本。指导21名博士生获得博士学位，主持国家自然科学基金项目六项，省部级项目各一项，多次联合主办小波分析与时频分析国际会议。先后获得“南粤优秀教师”和广东省科学技术奖二等奖。