Zobrazeno 1 - 5
of 5
pro vyhledávání: '"深度神经网络"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 3, Pp 587-594 (2023)
The time-varying radio frequency interference has strong nonlinear dynamic characteristics, which is difficult to be predicted by linear method effectively, making the anti-interference decision without sufficient information support. To solve this p
Externí odkaz:
https://doaj.org/article/3c58994f67634d44b6818787075bbe63
Publikováno v:
Zhongguo cuzhong zazhi, Vol 15, Iss 11, Pp 1223-1227 (2020)
Externí odkaz:
https://doaj.org/article/8487bedcd66145f8aaff7c9918ee8593
Publikováno v:
Guangtongxin yanjiu, Vol , Pp 25-28 (2020)
针对高速相干光通信系统,融合信号功率波形与幅相特征提出了一种大范围和高精度的色散（CD）监测技术。搭建了112 Gbit/s （28 GBaud）偏振复用正交相移键控（PDM-QPSK）仿真系统,证明了该方法
Externí odkaz:
https://doaj.org/article/378bbf46ebb74f76b9159b750048d502
Publikováno v:
Guangtongxin yanjiu, Vol , Pp 14-18 (2019)
基于信号功率非线性变换,结合神经网络,文章提出了一种利用深度神经网络（DNN）实现光信噪比（OSNR）监测的方法。通过对信号功率、信号2次方、4次方和8次方运算后对应的快速傅里叶变换
Externí odkaz:
https://doaj.org/article/2da626d65ca9412b943449e2f7282d37
Publikováno v:
Guangtongxin yanjiu, Vol , Pp 42-47 (2017)
文章回顾了本研究小组将人工神经网络（ANN）和深度神经网络（DNN）用于提取布里渊光时域分析仪（BOTDA）传感系统中的温度分布信息的研究工作。在对ANN或者DNN模型进行适当的训练之后,沿
Externí odkaz:
https://doaj.org/article/4a00ba08366644fe822ab25f27d5b254