Compressed Sensing Acquisition
Compressed Sensing Acquisition is a signal acquisition framework that enables the reconstruction of sparse or compressible signals from a significantly reduced number of measurements by exploiting signal sparsity and incoherent sampling, distinguishing itself from conventional acquisition methods through its reliance on optimization-based recovery rather than Nyquist-rate sampling.
158
Publications
7.7K
Citations
638
Authors
242
Institutions
Publications per year
2017–2026
58
Parents
158
Single-pixel three-dimensional imaging with time-based depth resolution
Ming-Jie Sun, M. Edgar, Graham M. Gibson et al. · Nature Communications · 2016 · 584 citations · Full text
Anna C. Gilbert, Michael Strauss, Joel A. Tropp et al. · 2007 · 285 citations
Engineering, Electrical Engineering, Biomedical Signal Processing +14
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242
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
6 h-index
24 publications
3.3K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
30 publications
863 citations
Tsinghua University
Beijing, China
5 h-index
20 publications
688 citations
Siemens Healthineers (Germany)
Forchheim, Germany
5 h-index
16 publications
936 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
19 publications
734 citations
University of Sheffield
Sheffield, United Kingdom
4 h-index
18 publications
572 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
7 publications
304 citations
University of California System
Oakland, United States
3 h-index
11 publications
969 citations
1–8 of 242
MRM · 15 publications · 695 citations
14
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JMR · 7 publications · 284 citations
7
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6 publications · 381 citations
6
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4 publications · 144 citations
4
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4 publications · 88 citations
4
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