May 4, 2018 · In this letter, we characterize a data-time tradeoff for projected gradient descent (PGD) algorithms used for solving corrupted sensing ...

May 23, 2018 · Abstract—In this letter, we characterize a data-time tradeoff for projected gradient descent (PGD) algorithms used for solving cor-.

S Mao, J Chen. 2022 IEEE International Symposium on Information Theory (ISIT), 1826-1831, 2022. 1, 2022. Data-time tradeoffs for corrupted sensing. J Chen, Y ...

Jun 19, 2022 · called the data-time tradeoffs for algorithms. The researches in [16], [17] ... Liu, “Data-time tradeoffs for corrupted sensing,” IEEE. Signal ...

In this paper, a learnable sparse dictionary compressed sensing method is proposed for channeled spectropolarimeter (CSP) ... [Show full abstract] spectral ...

Data-time tradeoffs for corrupted sensing. J Chen, Y Liu. IEEE Signal Processing Letters 25 (7), 941-945, 2018. 1, 2018. Simultaneous Blind Demixing and Super ...

In this letter, we characterize a time-data tradeoff for projected gradient descent (PGD) algorithms used for solving corrupted sensing problems under sub- ...

Feb 6, 2022 · Abstract—In this paper, we characterize data-time tradeoffs of the proximal-gradient homotopy method used for solving linear.

IEEE Transactions on Information Theory, 65(5): 2976 – 2994, 2019. Jinchi Chen and Yulong Liu, Data-Time Tradeoffs for Corrupted Sensing. IEEE Signal ...

https://dblp.org/rec/journals/spl/ChenL18 · Jinchi Chen , Yulong Liu : Data-Time Tradeoffs for Corrupted Sensing. IEEE Signal Process. Lett. 25(7): 941-945 ...