A Study of Signal Modulation Recognition Based on Wavelet Analysis and Random Forest-Reference-Cited by-同舟云学术

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A Study of Signal Modulation Recognition Based on Wavelet Analysis and Random Forest

Published:2022-10-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
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Author:

Song Yuanmeng¹,Mao Jiarui²,Liu Jiaxi³

Affiliation:

1. Nanjing University of Posts and Telecommunications,College of Telecommunications & Information Engineering,Nanjing,China

2. Liaoning University,College of Information Liaoning University,Shenyang,China

3. Xi'an University of Posts and Telecommunications,Faculty of Communication and Information Engineering,Xi'an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986511/9986516/09987225.pdf?arnumber=9987225

Reference9 articles.

1. ECG noise filtering using wavelets with soft-thresholding methods

2. Signal recovery from wavelet transform maxima

3. Study on optimization of random forest algorithm [D];cao;Journal of Capital University of Economics and Business,2014

4. Modulated signal recognition method based on improved residual neural network[J];ying;Modern Electronic Technology,2021

5. Mixed Communication Signal Recognition Based On Residual Neural Networks [J];cong;Radio Engineering,2020

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