Performance evaluation results of the six methods in the CSPB.ML2018 dataset and RML2016.09a dataset.

Performance evaluation results of the six methods in the CSPB.ML2018 dataset and RML2016.09a dataset.

<p>Performance evaluation results of the six methods in the CSPB.ML2018 dataset and RML2016.09a dataset.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ting Xie (191025) (author)
مؤلفون آخرون: Xing Han (802860) (author)
منشور في: 2025
الموضوعات:
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 %,
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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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