【文献梳理】稀疏表示求解：从凸优化到深度展开
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参考文献：
[1] Nir Shlezinger, Yonina C. Eldar: Model-Based Deep Learning. Found. Trends Signal Process. 17(4): 291-416 (2023)
[2] Meenu Rani, Sanjay B. Dhok, R. B. Deshmukh: A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications. IEEE Access 6: 4875-4894 (2018)
[3] Karol Gregor, Yann LeCun: Learning Fast Approximations of Sparse Coding. ICML 2010: 399-406
[4] Jian Zhang, Bernard Ghanem: ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing. CVPR 2018: 1828-1837
[5] Di You, Jingfen Xie, Jian Zhang: ISTA-NET++: Flexible Deep Unfolding Network for Compressive Sensing. ICME 2021: 1-6
[6] Jinxi Xiang, Yonggui Dong, Yunjie Yang: FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging. IEEE Trans. Medical Imaging 40(5): 1329-1339 (2021)
[1] Nir Shlezinger, Yonina C. Eldar: Model-Based Deep Learning. Found. Trends Signal Process. 17(4): 291-416 (2023)
[2] Meenu Rani, Sanjay B. Dhok, R. B. Deshmukh: A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications. IEEE Access 6: 4875-4894 (2018)
[3] Karol Gregor, Yann LeCun: Learning Fast Approximations of Sparse Coding. ICML 2010: 399-406
[4] Jian Zhang, Bernard Ghanem: ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing. CVPR 2018: 1828-1837
[5] Di You, Jingfen Xie, Jian Zhang: ISTA-NET++: Flexible Deep Unfolding Network for Compressive Sensing. ICME 2021: 1-6
[6] Jinxi Xiang, Yonggui Dong, Yunjie Yang: FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging. IEEE Trans. Medical Imaging 40(5): 1329-1339 (2021)
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