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

Dominant Eigen Vector Based Feature Selection Using Singular Value Decomposition in Automatic Modulation Classification

Journal article

Afan Ali, Fan Yangyu
International Journal of Computer Theory and Engineering, vol. 9, 2017, pp. 398--401

DOI: 10.7763/IJCTE.2017.V9.1173

Cite

APA Click to copy
Ali, A., & Yangyu, F. (2017). Dominant Eigen Vector Based Feature Selection Using Singular Value Decomposition in Automatic Modulation Classification. International Journal of Computer Theory and Engineering, 9, 398–401. https://doi.org/10.7763/IJCTE.2017.V9.1173

Chicago/Turabian Click to copy
Ali, Afan, and Fan Yangyu. “Dominant Eigen Vector Based Feature Selection Using Singular Value Decomposition in Automatic Modulation Classification.” International Journal of Computer Theory and Engineering 9 (2017): 398–401.

MLA Click to copy
Ali, Afan, and Fan Yangyu. “Dominant Eigen Vector Based Feature Selection Using Singular Value Decomposition in Automatic Modulation Classification.” International Journal of Computer Theory and Engineering, vol. 9, 2017, pp. 398–401, doi:10.7763/IJCTE.2017.V9.1173.

BibTeX Click to copy

@article{ali2017a,
  title = {Dominant Eigen Vector Based Feature Selection Using Singular Value Decomposition in Automatic Modulation Classification},
  year = {2017},
  journal = {International Journal of Computer Theory and Engineering},
  pages = {398--401},
  volume = {9},
  doi = {10.7763/IJCTE.2017.V9.1173},
  author = {Ali, Afan and Yangyu, Fan}
}