SUMMARY This paper mainly discusses the time-difference-of-arrival (TDOA) estimation problem of digital modulation signal under impulsive noise and cochannel interference environment. Since the conventional TDOA estimation algorithms based on the second-order cyclic statistics degenerated severely in impulsive noise and the TDOA estimation algorithms based on correntropy are out of work in cochannel interference, a novel robust signal-selective algorithm based on the generalized cyclic correntropy is proposed, which can suppress both impulsive noise and cochannel interference. Theoretical derivation and simulation results demonstrate the effectiveness and robustness of the proposed algorithm. key words: Alpha-stable distribution, impulsive noise, Cyclic correntropy,TDOA, Cochannel interference.
2021-08-14 19:36:16 1.5MB key words: A
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pytorch.cyclic.learning.rate 这是我的解释自行车学习率的文章的随附回购。 参考: ,向参加者授课 Brad Kenstler的Keras (正在审核)
2021-06-25 11:26:07 5KB Python
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博客对应的对称边界模态分析文件,使用 ansys workbench 19.0进行制作。包括了模型的处理,网格划分,边界条件设置,求解设置,后处理结果查看等。不追求精度和准确度,仅供参考,可作为对称边界的使用练习
2021-02-27 15:16:42 7.22MB ANSYS workbench 模态分析 对称边界条件
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检测隐含周期的信号的周期的MATLAB程序
2019-12-21 19:35:09 371B 隐含信号 cyclic signal
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