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Table 1 Encoding part of the network structure

From: Signal processing of Internet of Vehicles based on intelligent interference

Network structure

Convolution kernel structure

Output layer

Input

/

(2, 1024)

Convolutional layer (normalization)

(2, 2, 128)

/

ReLU/PReLU

128

/

Convolutional layer (normalization)

(1, 2, 128)

/

ReLU/PReLU

128

/

Pooling layer (max pooling)

(1, 2, 128) stride = 2

/

Convolutional layer (normalization)

(1, 2, 256)

/

ReLU/PReLU

256

/

Convolutional layer (normalization)

(1, 2, 256)

/

ReLU/PReLU

256

/

Pooling layer (max pooling)

(1, 2, 256) stride = 2

/

Convolutional layer (normalization)

(1, 2, 512)

/

ReLU/PReLU

512

/

Convolutional layer (normalization)

(1, 2, 512)

/

ReLU/PReLU

512

/

Pooling layer (max pooling)

(1, 2, 512) stride = 2

/

Fully connected layer (dropout = 0.5)

256*128*1

1000*1

Fully connected layer (dropout = 0.5)

1000*1

1000*1

Classifier

1000*3

3*1