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  1. Scholars Hub of the Academia Sinica
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Browsing by Author Gang-Xuan Lin


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Showing results 1 to 10 of 10
Issue DateTitleAuthor(s)RelationscopusWOSFulltext/Archive link
2015A Necessary and Sufficient Condition for Generalized DemixingChun-Yen Kuo; Gang-Xuan Lin; Chun-Shien LuIEEE Signal Processing Letters 22(11), 2049-2053
2017An iterative Convex Optimization Solver with Side Information for Joint-Sparse Signal RecoveryShih-Wei Hu; Sung-Hsien Hsieh; Gang-Xuan Lin; Chun-Shien Lu
2015Compressive Large-Scale Image SensingWei-Jie Liang; Gang-Xuan Lin; Chun-Shien Lu
2023Extremely Lightweight Neural Network for Large-Scale Image Compressive SensingGang-Xuan Lin; Shih-Wei Hu; Chun-Shien Lu 
2021GPX-ADMM-Net: Interpretable Deep Neural Network for Image Compressive SensingShih-Wei Hu; Gang-Xuan Lin; Chun-Shien Lu IEEE Access 9, 158695-158709
2018Performance Analysis of Joint-Sparse Recovery from Multiple Measurement Vectors via Convex Optimization: Which Prior Information is Better?Shih-Wei Hu; Gang-Xuan Lin; Sung-Hsien Hsieh; Chun-Shien LuIEEE Access 6, 3739-3754
2015Phase Transition of Joint-Sparse Recovery from Multiple Measurements via Convex OptimizationShih-Wei Hu; Gang-Xuan Lin; Sung-Hsien Hsieh; Chun-Shien Lu
2022QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving ℓq-Norm Optimization ProblemGang-Xuan Lin; Shih-Wei Hu; Chun-Shien Lu 
2021QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm MinimizationGang-Xuan Lin; Shih-Wei Hu; Yen-Ju Lu; Yu Tsao ; Chun-Shien Lu 
2017Tree Structure Sparsity Pattern Guided Convex Optimization for Compressive Sensing of Large-Scale ImagesWei-Jie Liang; Gang-Xuan Lin; Chun-Shien LuIEEE Trans. on Image Processing 26(2), 847-859
Showing results 1 to 10 of 10
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