A hybrid convolutional neural network with fusion of handcrafted and deep features for FHSS signals classification
Shared spectrum utilization is unavoidable because of the continuous rise of wireless usage and bandwidth needs. Effective spectrum sharing can be done by spectrum monitoring that involves detection, parameter estimation, and classification of signals of interest. Signal classification becomes chall...
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| Main Authors: | , |
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| Format: | Article |
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Elsevier Ltd
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/107094/ http://dx.doi.org/10.1016/j.eswa.2023.120153 |
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