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Showing results 1 to 6 of 6

1
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix

Jin, Kyong Hwan; Lee, Dong Wook; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.2, no.4, pp.480 - 495, 2016-12

2
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

Ye, Jong Chul; Kim, Jong Min; Jin, Kyong Hwan; Lee, Kiryung, IEEE TRANSACTIONS ON INFORMATION THEORY, v.63, no.2, pp.777 - 801, 2017-02

3
Cramer-Rao bounds for parametric shape estimation in inverse problems

Ye, Jong Chul; Bresler, Y; Moulin, P, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.12, no.1, pp.71 - 84, 2003-01

4
Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty

Ye, Jong Chul; Kim, Jong Min; Bresler, Yoram, IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.63, no.24, pp.6595 - 6605, 2015-12

5
Lipschitz-Killing curvature based expected Euler characteristics for p-value correction in fNIRS

Li, Hua; Tak, Sung-Ho; Ye, Jong-Chul, JOURNAL OF NEUROSCIENCE METHODS, v.204, no.1, pp.61 - 67, 2012-02

6
Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal

Jin, Kyong Hwan; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.27, no.3, pp.1448 - 1461, 2018-03

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