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Sparse signal recovery with additional ℓ2 null space constraint
2015 International Symposium on Signals, Circuits and Systems (ISSCS)
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10.1109/isscs.2015.7203983
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2015
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Author(s):
Nicolae Cleju
Keyword(s):
Space Constraint
◽
Null Space
◽
Sparse Signal
◽
Sparse Signal Recovery
◽
Signal Recovery
Download Full-text
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Fast null space tuning algorithms with feedbacks for sparse signal recovery
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2013
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Author(s):
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Shidong Li
Keyword(s):
Null Space
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Sparse Signal Recovery
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Iterative null space projection method with adaptive thresholding in sparse signal recovery
IET Signal Processing
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2018
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Vol 12
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pp. 605-612
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Keyword(s):
Projection Method
◽
Null Space
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Adaptive Thresholding
◽
Sparse Signal
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Sparse Signal Recovery
◽
Signal Recovery
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Space Projection
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Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information
IEEE Transactions on Signal Processing
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10.1109/tsp.2021.3067738
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pp. 2174-2187
Author(s):
Xu Zhang
◽
Yulong Liu
◽
Wei Cui
Keyword(s):
Prior Information
◽
Matrix Completion
◽
Hankel Matrix
◽
Sparse Signal
◽
Sparse Signal Recovery
◽
Signal Recovery
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Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries
Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing
◽
10.1145/3293353.3293420
◽
2018
◽
Author(s):
Shruti Sharma
◽
Santanu Chaudhury
◽
Jayadeva Jayadeva
◽
Snigdha Bhagat
Keyword(s):
Sparse Signal
◽
Sparse Signal Recovery
◽
Signal Recovery
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Multiple Measurement
◽
Multiple Measurement Vectors
◽
Temporally Correlated
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Uncertainty Relations and Sparse Signal Recovery
Information-Theoretic Methods in Data Science
◽
10.1017/9781108616799.007
◽
2021
◽
pp. 163-196
Author(s):
Erwin Riegler
◽
Helmut Bökei
Keyword(s):
Sparse Signal
◽
Sparse Signal Recovery
◽
Uncertainty Relations
◽
Signal Recovery
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Sparse signal recovery based on adaptive algorithms for debris detector
AIP Advances
◽
10.1063/5.0050715
◽
2021
◽
Vol 11
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◽
pp. 065131
Author(s):
Bingsen Xue
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Yehui Li
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Keyword(s):
Adaptive Algorithms
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Sparse Signal
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Sparse Signal Recovery
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Signal Recovery
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DeepFPC: A deep unfolded network for sparse signal recovery from 1-Bit measurements with application to DOA estimation
Signal Processing
◽
10.1016/j.sigpro.2020.107699
◽
2020
◽
Vol 176
◽
pp. 107699
Author(s):
Peng Xiao
◽
Bin Liao
◽
Nikos Deligiannis
Keyword(s):
Doa Estimation
◽
Sparse Signal
◽
Sparse Signal Recovery
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Signal Recovery
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Sparse signal recovery via infimal convolution based penalty
Signal Processing Image Communication
◽
10.1016/j.image.2021.116214
◽
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◽
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◽
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Lin Lei
◽
Yuli Sun
◽
Xiao Li
Keyword(s):
Sparse Signal
◽
Sparse Signal Recovery
◽
Signal Recovery
◽
Infimal Convolution
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Type I and Type II Bayesian Methods for Sparse Signal Recovery Using Scale Mixtures
IEEE Transactions on Signal Processing
◽
10.1109/tsp.2016.2546231
◽
2016
◽
Vol 64
(13)
◽
pp. 3418-3428
◽
Cited By ~ 40
Author(s):
Ritwik Giri
◽
Bhaskar Rao
Keyword(s):
Bayesian Methods
◽
Sparse Signal
◽
Sparse Signal Recovery
◽
Signal Recovery
◽
Type I
◽
Type Ii
◽
Scale Mixtures
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Improved RIP‐based performance guarantee for sparse signal recovery via A*OMP
Electronics Letters
◽
10.1049/el.2018.5211
◽
2018
◽
Vol 54
(21)
◽
pp. 1216-1218
◽
Cited By ~ 2
Author(s):
Haifeng Li
◽
Guoqi Liu
◽
Jian Zou
Keyword(s):
Sparse Signal
◽
Sparse Signal Recovery
◽
Signal Recovery
◽
Performance Guarantee
Download Full-text
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