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西北工业大学 国内
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An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels
Xiaoya Zuo, Yuan Yang, Rugui Yao,
Ye Fan
, Lu Li
电子信息学院
Northwestern Polytechnical University Xian
China Electronics Technology Group Corporation
科研成果
:
期刊稿件
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同行评审
4
引用 （Scopus）
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探究 'An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels' 的科研主题。它们共同构成独一无二的指纹。
分类
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按字母排序
Computer Science
Deep Learning Method
100%
Fading Channel
100%
Recognition Algorithm
100%
Signal Modulation
66%
Neural Network
33%
Neural Network Architecture
33%
Residual Neural Network
33%
Feature Extraction
33%
Deep Convolutional Neural Networks
33%
Noise-to-Signal Ratio
33%
Recognition Accuracy
33%
Time Fourier Transform
33%
Varying Degree
33%
Environment Communication
33%
Core Technology
33%
Engineering
Fading Channel
100%
Deep Learning Method
100%
Signal Modulation
66%
Simulation Result
33%
Short-Time Fourier Transform
33%
Time Domain
33%
Signal-to-Noise Ratio
33%
Recognition Accuracy
33%
Convolutional Neural Network
33%
Feature Extraction
33%
Neural Network Architecture
33%
Adaptability
33%
Input Data
33%
Domain Signal
33%
Core Technology
33%
Material Science
Composite Material
100%
Signal-to-Noise Ratio
50%