Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications
- DOI
- 10.3390/app10175909
- Published
- 2020-08-26
- Container
- Applied Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/app10175909,
title = {Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications},
author = {Lixiang Li and Yuan Fang and Liwei Liu and Haipeng Peng and Jürgen Kurths and Yixian Yang},
year = {2020},
journal = {Applied Sciences},
doi = {10.3390/app10175909},
url = {https://doi.org/10.3390/app10175909}
}RIS
TY - JOUR TI - Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications AU - Lixiang Li AU - Yuan Fang AU - Liwei Liu AU - Haipeng Peng AU - Jürgen Kurths AU - Yixian Yang PY - 2020 JO - Applied Sciences DO - 10.3390/app10175909 UR - https://doi.org/10.3390/app10175909 ER -
APA
Li, L., Fang, Y., Liu, L., Peng, H., Kurths, J., & Yang, Y. (2020). Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications. Applied Sciences. https://doi.org/10.3390/app10175909
Source records
- crossref · retrieved 2026-11-10T06:47:43.488Z