Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement

10.3390/a6040871 ◽

2013 ◽

Vol 6 (4) ◽

pp. 871-882 ◽

Author(s):

Jun He ◽

Ming-Wei Gao ◽

Lei Zhang ◽

Hao Wu

Keyword(s):

Low Rank ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery

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Low-rank and joint-sparse signal recovery using sparse Bayesian learning in a WBAN

Multidimensional Systems and Signal Processing ◽

10.1007/s11045-020-00743-y ◽

2020 ◽

Author(s):

Yan-Bin Zhang ◽

Long-Ting Huang ◽

Yang-Qing Li ◽

Ke-Sen He ◽

Kai Zhang ◽

...

Keyword(s):

Bayesian Learning ◽

Low Rank ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery ◽

Sparse Bayesian Learning

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Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93764-9_44 ◽

2018 ◽

pp. 479-487

Author(s):

Ivan Markovsky ◽

Pier Luigi Dragotti

Keyword(s):

Low Rank ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Low-Rank and Joint-Sparse Signal Recovery for Spatially and Temporally Correlated Data Using Sparse Bayesian Learning

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8461365 ◽

2018 ◽

Author(s):

Yanbin Zhang ◽

Yangqing Li ◽

Changchuan Yin ◽

Kesen He

Keyword(s):

Bayesian Learning ◽

Correlated Data ◽

Low Rank ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery ◽

Sparse Bayesian Learning ◽

Temporally Correlated

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Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2021.3067738 ◽

2021 ◽

Vol 69 ◽

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 ◽

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 (6) ◽

pp. 065131

Author(s):

Bingsen Xue ◽

Xingming Zhang ◽

Yunzhe Xu ◽

Yehui Li ◽

Hongpeng Zhang ◽

...

Keyword(s):

Adaptive Algorithms ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

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 ◽

Signal Recovery

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Sparse signal recovery via infimal convolution based penalty

Signal Processing Image Communication ◽

10.1016/j.image.2021.116214 ◽

2021 ◽

Vol 94 ◽

pp. 116214

Author(s):

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 ◽

Author(s):

Ritwik Giri ◽

Bhaskar Rao

Keyword(s):

Bayesian Methods ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery ◽

Type I ◽

Type Ii ◽

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