Eighth Symposium on Novel Photoelectronic Detection Technology and Applications 2022
DOI: 10.1117/12.2622460
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Intelligent identification of radar intra-pulse signals

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“…'BatchNormalization' represents the batch normalization operation before the nonlinear activation function. Compared with the CNN model presented in our previous basic work [46], the proposed CNN in this work has a larger input size, as larger samples can contain more essential features of raw signals and help to reduce the impact of frequency cross-interference terms. Moreover, the number of neurons in the fully connected layer of the proposed CNN in this work is smaller as we have introduced batch normalization techniques.…”
Section: Methods a Cnnmentioning
confidence: 99%
“…'BatchNormalization' represents the batch normalization operation before the nonlinear activation function. Compared with the CNN model presented in our previous basic work [46], the proposed CNN in this work has a larger input size, as larger samples can contain more essential features of raw signals and help to reduce the impact of frequency cross-interference terms. Moreover, the number of neurons in the fully connected layer of the proposed CNN in this work is smaller as we have introduced batch normalization techniques.…”
Section: Methods a Cnnmentioning
confidence: 99%