The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Compressive Sensing [Lecture Notes]
Abstract
This lecture note presents a new method to capture and represent compressible signals at a rate significantly below the Nyquist rate. This method, called compressive sensing, employs nonadaptive linear projections that preserve the structure of the signal; the signal is then reconstructed from these projections using an optimization process.
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Citations
Cites
Analog-to-Information Conversion via Random Demodulation
Kirolos, S., Laska, J., Wakin, M., Duarte, M., Baron, D., Ragheb, T., Massoud, Y., & Baraniuk, R. (2006) · 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software · doi:10.1109/dcas.2006.321036 · Cited by 393
Self-citation
Cited by
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517384113 · Cited by 4,796
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Bioucas-Dias, J. M., Plaza, A., Dobigeon, N., Parente, M., Du, Q., Gader, P., & Chanussot, J. (2012) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2012.2194696 · Cited by 2,836
Data-Driven Intelligent Transportation Systems: A Survey
Zhang, J., Wang, F.-Y., Wang, K., Lin, W.-H., Xu, X., & Chen, C. (2011) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2011.2158001 · Cited by 1,817
Lei, Y., Jia, F., Lin, J., Xing, S., & Ding, S. X. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2519325 · Cited by 1,191
Compressed Sensing Off the Grid
Tang, G., Bhaskar, B. N., Shah, P., & Recht, B. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2277451 · Cited by 1,163
Metadata
- Authors
- Baraniuk, R.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2007-07
- Volume
- 24
- Issue
- 4
- Pages
- 118-121
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2104266187
- Cited by
- 4,177
- References
- 1
- FWCI
- 105.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- Baraniuk, R. (2007). Compressive Sensing [Lecture Notes]. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2007.4286571
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.
