The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Compressed sensing with coherent and redundant dictionaries
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fast Discrete Curvelet Transforms
Candès, E., Demanet, L., Donoho, D., & Ying, L. (2006) · Multiscale Modeling & Simulation · doi:10.1137/05064182x · Cited by 2,573
Self-citation
Cited by
Ouyang, R., Curtarolo, S., Ahmetcik, E., Scheffler, M., & Ghiringhelli, L. M. (2018) · Physical Review Materials · doi:10.1103/physrevmaterials.2.083802 · Cited by 944
Discrete Signal Processing on Graphs: Sampling Theory
Chen, S., Varma, R., Sandryhaila, A., & Kovacevic, J. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2469645 · Cited by 666
Learning probabilistic neural representations with randomly connected circuits
Maoz, O., Tkačik, G., Esteki, M. S., Kiani, R., & Schneidman, E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912804117 · Cited by 44
Emerging data technology in structural health monitoring: compressive sensing technology
Bao, Y., Li, H., & Ou, J. (2014) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-013-0064-1 · Cited by 43
Sparsity-Aware Learning and Compressed Sensing: An Overview
Theodoridis, S., Kopsinis, Y., & Slavakis, K. (2014) · Academic Press Library in Signal Processing · doi:10.1016/b978-0-12-396502-8.00023-1 · Cited by 14
Metadata
- Authors
- Candès, E. J., Eldar, Y. C., Needell, D., & Randall, P.
- Venue
- Applied and Computational Harmonic Analysis
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 31
- Issue
- 1
- Pages
- 59-73
- ISSN
- 1063-5203 (ISSN-L)
- OpenAlex
- W2103955025
- Cited by
- 898
- References
- 1
- FWCI
- 62.22
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Compressed sensing with coherent and redundant dictionaries. https://app.cochat.ai/papers/10.1016/j.acha.2010.10.002
- The paper
- Candès, E. J., Eldar, Y. C., Needell, D., & Randall, P. (2011). Compressed sensing with coherent and redundant dictionaries. Applied and Computational Harmonic Analysis. https://doi.org/10.1016/j.acha.2010.10.002
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.