Modulation identification method based on time-frequency analysis and support vector machine-Reference-Cited by-同舟云学术

Modulation identification method based on time-frequency analysis and support vector machine

Published:2023-02-24 Issue: Volume: Page:
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Container-title:2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
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Author:

Huang Xinyi¹,Li Xiang¹

Affiliation:

1. Beijing Jiaotong University,Weihai,China

Publisher

IEEE

Link

Reference6 articles.

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3. Machine Learning [M];zhihua;Qing hua da xue chu ban she,2016

4. EEG Classification Based on Least Squares Support Vector Machine [J];liu;Journal of Northeastern University (Natural Science),2016

5. A Modulation Recognition Method based on New Feature and SVM [J];chen;Communication Technology,2018

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4. Design of XSRP-based automatic identification system for analog modulated signals;Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023);2023-10-20