New Advances in Structured Signal Recovery
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Organizer(s): |
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Affiliation:
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Country:
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Xuemei Chen
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University of North Carolina Wilmington
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USA
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Zhiqiang Xu
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Chinese Academy of Science
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Peoples Rep of China
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Introduction:
| | Numerous signal recovery challenges, such as matrix/tensor recovery and phase retrieval, capitalize on the inherent low-dimensional structure of signals, such as sparsity within a frame and low-rank matrices. These problems find significant applications in image processing and various data science domains. This special session will showcase the latest breakthroughs in this field, employing tools from algebra geometry, frame theory, matrix theory, approximation theory, optimization and beyond. |
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| Confirmed Speakers |
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Name: | Affiliation: | Country: |
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Jianfeng Cai | Hong Kong University of Science and Technology. | Peoples Rep of China |
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Cheng Cheng | SUN YAT-SEN University | Peoples Rep of China |
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Yu Xia | Hangzhou Normal University | Peoples Rep of China |
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