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基于元学习的时变信道估计方法.
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- Systems Engineering & Electronics, 2023, v. 45, n. 6, p. 1872, doi. 10.12305/j.issn.1001-506X.2023.06.32
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- Article
基扩展模型下基于LSTM神经网络的 时变信道预测方法.
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- Systems Engineering & Electronics, 2022, v. 44, n. 9, p. 2971, doi. 10.12305/j.issn.1001-506X.2022.09.33
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- Article
新型的基于堆栈式犈犔犕的时变信道预测方法.
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- Systems Engineering & Electronics, 2022, v. 44, n. 2, p. 662, doi. 10.12305/j.issn.1001-506X.2022.02.37
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- Article
一种新型的基于深度学习的时变信道预测方法.
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- Telecommunications Science, 2021, v. 37, n. 1, p. 39, doi. 10.11959/j.issn.1000−0801.2021011
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- Article
基于历史信息的软卡尔曼滤波迭代时变信道估计方法.
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- Telecommunications Science, 2020, v. 36, n. 9, p. 23
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- Article
5G 高速移动系统中基于BP 神经网络 的多普勒频偏估计方法.
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- Telecommunications Science, 2020, v. 36, n. 4, p. 83
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- Article
基于卡尔曼预测与压缩感知的 WSN 中高能效数据收集方法.
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- Telecommunications Science, 2019, n. 1, p. 1, doi. 10.11959/j.issn.1000-0801.2019017
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- Article
吉林省松花江流域经济发展与水环境质量的 动态耦合及空间格局.
- Published in:
- Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao, 2013, v. 24, n. 2, p. 503
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- Article