Browsing Faculty of Engineering by Subject "Automatic modulation classification"

Now showing items 1-2 of 2

A comparison of clustering algorithms for automatic modulation classification

Mouton, Jacques P.; Ferreira, Melvin; Helberg, Albertus S.J. (Elsevier, 2020)

In this paper, the k-means, k-medoids, fuzzy c-means, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Ordering Points To Identify the Clustering Structure (OPTICS), and hierarchical clustering algorithms ...
The performance of feature-based classification of digital modulations under varying SNR and fading channel conditions

Uys, L.Y.; Helberg, A.S.J.; Gouws, M.; Strydom, J.J. (IEEE, 2017)

Feature-based classification is a method used for automatic modulation classification of communication signals. This method requires extraction of various features from a signal. One of the approaches for feature extraction ...