Signal Transformation Based Time and Frequency Characteristic Convolutional Neural Network for Modulation Recognition-Reference-Cited by-同舟云学术

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Signal Transformation Based Time and Frequency Characteristic Convolutional Neural Network for Modulation Recognition

Published:2023-09-22 Issue: Volume:2019 Page:669-675
ISSN:
Container-title:2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)
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Author:

Zheng Wenxiu¹^ORCID,Xiao Shuaishuai¹^ORCID

Affiliation:

1. Xi`an University of Posts & Telecommunications, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3641584.3641683

Reference19 articles.

1. Signal modulation mode classification method based on convolutional neural network with time-frequency map texture information[J];Bai P Y;Journal of Northwestern Polytechnic University

2. K.C. Ho, W. Prokopiw, Y. T. Chan. Modulation Identification By the Wavelets[J]. SPIE, 1993, 2491: 492-503.

3. Fusion image based radar signal feature extraction and modulation recognition[J];Gao L;IEEE Access,2019

4. Bai J, Gao L, Gao J, A new radar signal modulation recognition algorithm based on time-frequency transform[C]//2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP). IEEE, 2019: 21-25.

5. Zhou L. Research on the identification method of hydroacoustic pulse signal modulation mode based on time-frequency analysis[D]. Harbin Engineering University,2017.

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