Recovering a Clipped Signal in Sparseland.
- Published in:
- Sampling Theory in Signal & Image Processing, 2013, v. 12, n. 1, p. 55, doi. 10.1007/BF03549561
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- Article
Works matching AU Wakin, Michael B.
Results: 8
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Recovering a Clipped Signal in Sparseland.
- Published in:
- Sampling Theory in Signal & Image Processing, 2013, v. 12, n. 1, p. 55, doi. 10.1007/bf03549561
- By:
- Publication type:
- Article
3
Random Projections of Smooth Manifolds.
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- Foundations of Computational Mathematics, 2009, v. 9, n. 1, p. 51, doi. 10.1007/s10208-007-9011-z
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- Publication type:
- Article
4
Recovery analysis of damped spectrally sparse signals and its relation to MUSIC.
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- Information & Inference: A Journal of the IMA, 2022, v. 11, n. 1, p. 355, doi. 10.1093/imaiai/iaaa024
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- Publication type:
- Article
5
MC2: a two-phase algorithm for leveraged matrix completion.
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- Information & Inference: A Journal of the IMA, 2018, v. 7, n. 3, p. 581, doi. 10.1093/imaiai/iax020
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- Article
6
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery.
- Published in:
- Journal of Machine Learning Research, 2024, v. 25, p. 1
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- Article
7
Streaming Principal Component Analysis From Incomplete Data.
- Published in:
- Journal of Machine Learning Research, 2019, v. 20, n. 85-96, p. 1
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- Article
8
Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach †.
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- Sensors (14248220), 2023, v. 23, n. 23, p. 9519, doi. 10.3390/s23239519
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- Article