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Reconstruction of Signals and Images by Prior Information
- 来源：
- 学校官网
- 收录时间：
- 2026-04-05 14:13:29
- 时间：
- 2024-11-13 14:00:00
- 地点：
- 七教7215
- 报告人：
- 谌稳固
- 学校：
- 北京交通大学
- 关键词：
- signal reconstruction, image reconstruction, prior information, sparsity, low-rankness, support information
- 简介：
- In this talk, we consider the reconstruction of signals and images by prior information from incomplete or degraded observations. The priors includes sparsity, low-rankness, signal support information.
- -/- 10
报告介绍：
In this talk, we consider the reconstruction of signals and images by prior information from incomplete or degraded observations. The priors includes sparsity, low-rankness, signal support information.
报告人介绍：
谌稳固，北京应用物理与计算数学研究所研究员，博士生导师，主要从事调和分析、压缩感知、机器学习、大数据分析的理论及应用研究，在IEEE Transactions on Information Theory, Applied and Computational Harmonic Analysis，Inverse Problems, SIAM Journal on Imaging Sciences, Journal of Machine Learning等学术期刊发表科研论文80余篇。
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