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Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension

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Acknowledgements

This work was supported by Key Program of National Natural Science Foundation of China (Grant No. 61732006).

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Authors and Affiliations

  1. College of Computer Science and Technology, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Di Ma & Songcan Chen

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  1. Di Ma
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  2. Songcan Chen
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Correspondence to Songcan Chen.

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Appendixes A–C. The supporting information is available online at info.scichina.com and link. springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Ma, D., Chen, S. Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension. Sci. China Inf. Sci. 64, 199101 (2021). https://doi.org/10.1007/s11432-019-9945-2

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  • DOI: https://doi.org/10.1007/s11432-019-9945-2

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