中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共8条,第1-8条 帮助

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基于Labwindows/CVI的铯原子喷泉钟时序控制系统研制 期刊论文  OAI收割
时间频率学报, 2019, 卷号: 000, 期号: 002, 页码: 135
作者:  
刘浩;  刘丹丹;  阮军;  王心亮;  张首刚
  |  收藏  |  浏览/下载:20/0  |  提交时间:2021/01/11
BPM 授时信号监测方法研究 学位论文  OAI收割
: 中国科学院大学, 2013
郭美军
收藏  |  浏览/下载:24/0  |  提交时间:2013/11/13
一种积分球扩展光源系统的设计与实现 期刊论文  OAI收割
工业仪表与自动化装置, 2012, 期号: 01, 页码: 38-40
李葆勇
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/11
Development of multi-channel gated integrator and PXI-DAQ system for nuclear detector arrays 期刊论文  OAI收割
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2010, 卷号: 622, 期号: 1, 页码: 215-218
作者:  
Ma, Jun-Bing;  Kong, Jie;  Su, Hong;  Chen, Zhi-Qiang;  Dong, Cheng-Fu
  |  收藏  |  浏览/下载:26/0  |  提交时间:2011/04/20
基于CAN总线的核医疗设备测控系统设计 期刊论文  OAI收割
核电子学与探测技术, 2009, 期号: 2, 页码: 336-339+352
作者:  
黄欢;  吴建平;  李兵兵;  魏龙
收藏  |  浏览/下载:23/0  |  提交时间:2015/12/25
基于LabWindows/CVI的仪器测试软件设计 期刊论文  OAI收割
微计算机应用, 2007, 卷号: No.160, 期号: 8, 页码: 854-858
刘娅; 李孝辉; 张慧君
收藏  |  浏览/下载:20/0  |  提交时间:2012/07/01
The signal extraction of fetal heart rate based on wavelet transform and BP neural network (EI CONFERENCE) 会议论文  OAI收割
Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, November 29, 2004 - December 1, 2004, Singapore, Singapore
Hong Y. X.; Cheng Z. B.; Dai F. H.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
This paper briefly introduces the collection and recognition of bio-medical signals  the other threading is analyzing data. Using the method  designs the method to collect FM signals. A detailed discussion on the system hardware  it is broaden to analyze the signal in real-time. Wavelet transform to remove the main interference in the FM and by adding time-window to recognize with BP network  structure and functions is also given. Under LabWindows/CVI  Finally the results of collecting signals and BP networks are discussed.8 pregnant women's signals of FM were collected successfully by using the sensor. The correctness rate of BP network recognition is about 83.3% by using the above measure.  the hardware and the driver do compatible  the hardware equipment work properly actively. The paper adopts multi threading technology for real-time analysis and makes use of latency time of CPU effectively  expedites program reflect speed  improves the program to perform efficiency. One threading is collecting data