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A Mathematical Introduction to Compressive Sensing
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Citations
Cited by
Big Data of Materials Science: Critical Role of the Descriptor
Ghiringhelli, L. M., Vybiral, J., Levchenko, S. V., Draxl, C., & Scheffler, M. (2015) · Physical Review Letters · doi:10.1103/physrevlett.114.105503 · Cited by 920
Solving inverse problems using data-driven models
Arridge, S., Maass, P., Öktem, O., & Schönlieb, C.-B. (2019) · Acta Numerica · doi:10.1017/s0962492919000059 · Cited by 686
Hanson-Wright inequality and sub-gaussian concentration
Rudelson, M., & Vershynin, R. (2013) · Electronic Communications in Probability · doi:10.1214/ecp.v18-2865 · Cited by 502
Compressed Sensing for Wireless Communications: Useful Tips and Tricks
Choi, J. W., Shim, B., Ding, Y., Rao, B., & Kim, D. I. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2664421 · Cited by 351
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
Caldas, S., Konečny, J., McMahan, H. B., & Talwalkar, A. (2018) · arXiv · doi:10.48550/arxiv.1812.07210 · Cited by 312
Metadata
- Authors
- Foucart, S., & Rauhut, H.
- Venue
- Applied and Numerical Harmonic Analysis
- Publisher
- Springer New York
- Published
- 2013
- ISSN
- 2296-5009 (ISSN-L)
- 2296-5017
- OpenAlex
- W143004564
- Cited by
- 2,548
- References
- 0
- FWCI
- 43.79
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Mathematical Introduction to Compressive Sensing. https://app.cochat.ai/papers/10.1007/978-0-8176-4948-7
- The paper
- Foucart, S., & Rauhut, H. (2013). A Mathematical Introduction to Compressive Sensing. Applied and Numerical Harmonic Analysis. https://doi.org/10.1007/978-0-8176-4948-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
