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注意:仅列出部分参考文献,下载原文获取全部文献信息。Research on radar signal recognition based on automatic machine learning
Peng Li
NEURAL COMPUTING & APPLICATIONS (2020)
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A Learnable Distortion Correction Module for Modulation Recognition
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Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
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QAM classification methods by SVM machine learning for improved optical interconnection
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A Deep Learning Framework for Signal Detection and Modulation Classification
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A DDS-Based Wait-Free Phase-Continuous Carrier Frequency Modulation Strategy for EMI Reduction in FPGA-Based Motor Drive
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IEEE TRANSACTIONS ON POWER ELECTRONICS (2019)
Robust Automated VHF Modulation Recognition Based on Deep Convolutional Neural Networks
Rundong Li et al.
IEEE COMMUNICATIONS LETTERS (2018)
Toward Convolutional Neural Networks on Pulse Repetition Interval Modulation Recognition
Xueqiong Li et al.
IEEE COMMUNICATIONS LETTERS (2018)
Four-PAM Modulation of Ambient FM Backscattering for Spectrally Efficient Low-Power Applications
Spyridon Nektarios Daskalakis et al.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES (2018)
Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks
Mingxuan Li et al.
SENSORS (2018)
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
Sreeraj Ratendran et al.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING (2018)
Spectrum Monitoring Using Energy Ratio Algorithm for OFDM-Based Cognitive Radio Networks
Abdelmohsen Ali et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2015)
Using combination of support vector machines for automatic analog modulation recognition
Engin Avci et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Classification of multiple M-ary frequency-shift keying signals over a Rayleigh fading channel
AE El-Mahdy et al.
IEEE TRANSACTIONS ON COMMUNICATIONS (2002)
Modulation identification of digital signals by the wavelet transform
KC Ho et al.
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION (2000)
Digital modulation classification using constellation shape
BG Mobasseri
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Hierarchical digital modulation classification using cumulants
A Swami et al.
IEEE TRANSACTIONS ON COMMUNICATIONS (2000)