HIGHLIGHTS
- who: Zerun Li et al. from the College of Computer, National University of Defense Technology, Changsha, China have published the paper: Automatic Modulation Classification for MASK, MPSK, and MQAM Signals Based on Hierarchical Self-Organizing Map, in the Journal: Sensors 2022, 22, 6449. of /2022/
- what: The hierarchical SOM model proposed in this paper applies stacked neuron layers to cluster MASK, MPSK, and MQAM digital samples based on the normalized HOC and amplitude moment features without the need to set thresholds based on these features.
- how: This paper proposes a hierarchical self-organizing . . .
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