Afan Ali

Post Doctoral Fellow

Research Center for Communication Systems and Sensing (IRC-CSS), Electrical Engineering

King Fahd University of Petroleum and Minerals (KFUPM)

Dhahran, 31261, KSA

Unsupervised Feature Learning and Automatic Modulation Classification Using Deep Learning Model Systems

Journal article

Afan Ali, Fan Yangyu
Physical Communication, vol. 25, 2017, pp. 75--84

DOI: 10.1016/j.phycom.2017.08.011

Cite

APA Click to copy
Ali, A., & Yangyu, F. (2017). Unsupervised Feature Learning and Automatic Modulation Classification Using Deep Learning Model Systems. Physical Communication, 25, 75–84. https://doi.org/10.1016/j.phycom.2017.08.011

Chicago/Turabian Click to copy
Ali, Afan, and Fan Yangyu. “Unsupervised Feature Learning and Automatic Modulation Classification Using Deep Learning Model Systems.” Physical Communication 25 (2017): 75–84.

MLA Click to copy
Ali, Afan, and Fan Yangyu. “Unsupervised Feature Learning and Automatic Modulation Classification Using Deep Learning Model Systems.” Physical Communication, vol. 25, 2017, pp. 75–84, doi:10.1016/j.phycom.2017.08.011.

BibTeX Click to copy

@article{ali2017a,
  title = {Unsupervised Feature Learning and Automatic Modulation Classification Using Deep Learning Model Systems},
  year = {2017},
  journal = {Physical Communication},
  pages = {75--84},
  volume = {25},
  doi = {10.1016/j.phycom.2017.08.011},
  author = {Ali, Afan and Yangyu, Fan}
}