Bayesian Signal Recovery Under Measurement Matrix Uncertainty: Performance Analysis
Compressive sensing (CS) has gained a lot of attention in recent years due to its benefits in saving measurement time and storage cost in many applications including biomedical imaging, wireless communications, image reconstruction, remote sensing, and so on. The CS framework enables signal recovery...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8768029/ |