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A Novel and Effective Model for Automatic Modulation Classification Prediction Based on Multi-BIGRU, Multi-Encoder, and Hyper-Cross

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A Novel and Effective Model for Automatic Modulation Classification Prediction Based on Multi-BIGRU, Multi-Encoder, and Hyper-Cross

A Novel and Effective Model for Automatic Modulation Classification Prediction Based on Multi-BIGRU, Multi-Encoder, and Hyper-Cross

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Additional information

Journal

IEEE Access
Authors

JIANZHENG LIN
Keywords

Automatic modulation classification, multi-BIGRU, multi-encoder, hyber-cross
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