HIGHLIGHTS
- who: Gianmarco Baldini et al. from the (UNIVERSITY) have published the research: Spectrum Sensing Implemented with Improved Fluctuation-Based Dispersion Entropy and Machine Learning, in the Journal: Entropy 2021, 1611 of /2021/
- what: The authors focus on the implementation of local spectrum sensing, which can be classified in blind spectrum sensing approaches, and knowledge-aided spectrum sensing approaches . The approach proposed in this paper is "almost blind" as the authors only use the duration of the PU signal to define the range of the hyper-parameter used in the approach, but the authors do not . . .
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