Automatic Modulation Classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints

Journal article

Afan Ali, Fan Yangyu
IEEE Signal Processing Letters, vol. 24, 2017, pp. 1626--1630

DOI: 10.1109/LSP.2017.2751560

Cite

APA Click to copy
Ali, A., & Yangyu, F. (2017). Automatic Modulation Classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints. IEEE Signal Processing Letters, 24, 1626–1630. https://doi.org/10.1109/LSP.2017.2751560

Chicago/Turabian Click to copy
Ali, Afan, and Fan Yangyu. “Automatic Modulation Classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints.” IEEE Signal Processing Letters 24 (2017): 1626–1630.

MLA Click to copy
Ali, Afan, and Fan Yangyu. “Automatic Modulation Classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints.” IEEE Signal Processing Letters, vol. 24, 2017, pp. 1626–30, doi:10.1109/LSP.2017.2751560.

BibTeX Click to copy

@article{ali2017a,
  title = {Automatic Modulation Classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints},
  year = {2017},
  journal = {IEEE Signal Processing Letters},
  pages = {1626--1630},
  volume = {24},
  doi = {10.1109/LSP.2017.2751560},
  author = {Ali, Afan and Yangyu, Fan}
}