RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering

Jing Bai 0003, Yiran Wang, Zhu Xiao, Mamoun Alazab. RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering. IEEE Trans. Industrial Informatics, 18(11):7910-7919, 2022. [doi]

@article{BaiWXA22,
  title = {RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering},
  author = {Jing Bai 0003 and Yiran Wang and Zhu Xiao and Mamoun Alazab},
  year = {2022},
  doi = {10.1109/TII.2022.3171349},
  url = {https://doi.org/10.1109/TII.2022.3171349},
  researchr = {https://researchr.org/publication/BaiWXA22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Industrial Informatics},
  volume = {18},
  number = {11},
  pages = {7910-7919},
}