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基于改进和声算法的含风电系统无功优化研究 期刊论文
电力电容器与无功补偿, 2017, 期号: 2017年02期, 页码: 100-104
作者:  郝晓弘;  周勃
收藏  |  浏览/下载:20/0  |  提交时间:2019/11/13
基于遗传算法的配电网网络与无功规划综合研究 学位论文
: 西安理工大学, 2013
作者:  陈洋
收藏  |  浏览/下载:1/0  |  提交时间:2019/12/20
The design of analog video data grabber system based on TMS320VC33 and SAA7111A (EI CONFERENCE) 会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Geng T.-W.; Wang Z.-Q.; Liu S.-J.; Li D.-N.; Yu S.-B.
收藏  |  浏览/下载:11/0  |  提交时间:2013/03/25
Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文
2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China
Zhang M.; Ren J.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
The paper designs a driving circuit of high sensitive  wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique  the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.  
Modeling of satellite borne TDI CCD pitching imaging image motion velocity vector (EI CONFERENCE) 会议论文
2009 IEEE International Conference on Automation and Logistics, ICAL 2009, August 5, 2009 - August 7, 2009, Shenyang, China
Zhang L.; Li S.; Jin G.; Yang X.
收藏  |  浏览/下载:13/0  |  提交时间:2013/03/25
In order to obtain three-dimensional observation effect with single satellite borne time delay and integrate charge coupled device (TDI-CCD)  pitching imaging is required. More accurate real-time image motion velocity vector computational model of space camera is also necessary to make the imaging perfect. Imaging motion velocity vector computation model must be set up on image plane at pitching imaging. According to the geometric relationship between the pitching imaging space camera and the Earth's rotation motion  satellite borne TDI CCD pitching imaging motion velocity vector model is derived by mapping the ground speed to the image plane and using coordinate transformation method. The numerical simulation results show that the image velocity model can reduce deviation angle error about 33' and about 30% image motion speed error compared to traditional ground velocity model. 2009 IEEE.  


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