An efficient deep convolutional neural network with features fusion for radar signal recognition
This paper proposes an efficient deep convolutional neural network with features fusion for recognizing radar signal, which mainly includes data pre-processing, features extraction, multi-features fusion, and classification. Radar signals are first transformed into time-frequency images by using cho...
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Veröffentlicht in: | Multimedia tools and applications 2023, Vol.82 (2), p.2871-2885 |
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Sprache: | eng |
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