Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications

Lixiang Li, Yuan Fang, Liwei Liu, Haipeng Peng, Jürgen Kurths, Yixian Yang

Open source

DOI
10.3390/app10175909
Published
2020-08-26
Container
Applied Sciences
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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