Rffae-s: Autoencoder based on random fourier feature with separable loss for unsupervised signal modulation clustering

J Bai, Y Wang, Z Xiao, M Alazab - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unsupervised signal modulation clustering is becoming increasingly important due to its
application in the dynamic spectrum access process of 5G wireless communication and …
被引用次数：7 相关文章

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

J Bai, Y Wang, Z Xiao, M Alazab - IEEE Transactions on …, 2022 - researchers.cdu.edu.au
Unsupervised signal modulation clustering is becoming increasingly important due to its
application in the dynamic spectrum access process of 5G wireless communication and …