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Conjugate phase retreival on graphs and with applications to the shift invariant spaces

发布时间:2025-09-28 作者: 浏览次数:
Speaker: 成诚 DateTime: 2025年10月9日(周四)上午10:30-12:00
Brief Introduction to Speaker:

成诚,博士毕业于University of Central Florida(美国),师从Xin Li 教授和 Qiyu Sun 教授,随后在 Duke University进行博士后研究,合作导师是 I. Daubechies  院士,现为中山大学数学学院副教授。成诚的研究方向是应用调和分析,其在相位恢复和图信号的分布式处理以及采样理论等方面展开了系统的研究,截至目前共发表论文二十余篇,包括 Appl. Comput. Harmon. Anal.J. Funct. Anal., J. Fourier Anal. Appl.IEEE Trans.系列.Signal Process. 等。目前主持国自然基金面上项目一项,参与国家重点研发计划一项,以第二完成人获得广东省科学技术奖自然科学二等奖。


Place: 国交2号楼315
Abstract:Conjugate phase retrieval considers the recovery of a function, up to a unimodular constant and conjugation, from its phaseless measurements. In this talk, I will introduce the conjugate phase retrieval for complex-valued signals residing on graphs, and explore its applications to shift-invariant spaces. We first provide the sufficient condition for the conjugate phase retrieval of graph signals, construct two explicit graphs, and show that graph signals residing on them are conjugate phase retrievable. Next, we explore its applications for the signals living in the shift-invariant spaces, and study the the conjugate phase retrievable of the shift-invariant signals from the structured phaseless samples.