应304am永利集团官网李朋副教授邀请,中山大学数学学院成诚
研究员,将于2022年4月7日(周四)下午14:00在线举办专题报告.
报告题目:Graph Filters on Spatially Distributed Networks
报告时间:2021年4月7日(星期四)下午14:00
腾讯会议ID: 214-103-013
报告摘要: Graph signal processing provides an innovative framework to process data on graphs.Graph filters and their inverses have been widely used in denoising, smoothing, sampling, interpolating and learning. Implementation of graph filter and its inverse filtering procedure on spatially distributed networks (SDNs) is a remarkable challenge, as each agent on an SDN is equipped with a data processing subsystem with limited capacity and a communication subsystem with confined range due to engineering limitations. In this talk, I will introduce the graph filter and the associated inverse filtering on a spatially distributed network. I will also introduce iterative distributed algorithms which are applicable for the implementation of inverse filtering on SDNs.
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报告人简介
成诚研究员,现任职于中山大学数学学院,在此之前在美国杜克大学和美国统计和应用数学研究所做博士后研究,期间合作导师是美国三院院士Ingrid Daubechies 教授. 成诚毕业于中佛罗里达大学数学系, 指导老师是孙颀彧教授和李欣教授, 她的主要研究方向为应用调和分析, 特别是采样理论、相位恢复以及图信号处理中的数学理论, 目前已有多篇论文发表在 Appl. Comput. Harmonic Anal., J. Fourier Anal. Appl., Signal Process., IEEE TSP, IEEE Signal Process. Letters. 现主持国家自然科学基金一项,广东省自然科学基金一项.
甘肃应用数学中心
甘肃省高校应用数学与复杂系统省级重点实验室
304am永利集团官网
萃英学院
2022年4月6日