Modulation pattern recognition results with SNR of 6dB and 10dB in the test set.

<p>Modulation pattern recognition results with SNR of 6dB and 10dB in the test set.</p>

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Bibliographic Details
Main Author:	Ting Xie (191025) (author)
Other Authors:	Xing Han (802860) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified soft attention mechanism recognizing modulation patterns recognizing modulated signals proposed recognition method modulation pattern recognition maximum recognition rates attentively weighted using term memory network network &# 8217 34 %, 8 radio machine learning 33 %, respectively machine learning 33 %, temporal network 84 %, xlink "> varying signal results demonstrate potential applications noise ratios kappa coefficient iabln algorithm feature extraction contextual connection automatic systems 28 %. 2018 dataset 10b dataset
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