RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering
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DOI: 10.1109/tii.2022.3171349
Abstract: Unsupervised signal modulation clustering is becoming increasingly important due to its application in the dynamic spectrum access process of 5G wireless communication and threat detection at the physical layer of Internet of Things. The need… read more here.
Keywords: signal modulation; rffae; feature; unsupervised signal ... See more keywords