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23条,第1-10条 帮助

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Study on Spectrum Shifting and Pulse Splitting of Mode-Locked Fiber Lasers Based on NPR Technology 期刊论文  OAI收割
NANOMATERIALS, 2024, 卷号: 14, 期号: 9
作者:  
Hao, Zhenhua;  Hu, Yu;  Zhou, Siyu;  Liu, Jinhui;  Li, Xiaohui
  |  收藏  |  浏览/下载:11/0  |  提交时间:2024/08/22
Driving mechanism of keyhole evolution during multi-pulse drilling with a millisecond laser 期刊论文  OAI收割
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2019, 卷号: 62, 期号: 10, 页码: 7
作者:  
Zhang Y(张越);  Yu G(虞钢);  He XL(何秀丽);  Li SX(李少霞);  Ning WJ(宁伟健)
  |  收藏  |  浏览/下载:102/0  |  提交时间:2019/10/21
Waveform control in generations of intense water window attosecond pulses via multi-color combined field 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2019, 卷号: 33, 期号: 13, 页码: 23
作者:  
Li, Liang;  Zheng, Mian;  Feng, R. Liqiang;  Qiao, Yan
  |  收藏  |  浏览/下载:51/0  |  提交时间:2019/07/26
Nano-plasmonic-pump-probe effect on the intensity enhancement of attosecond pulse from hydrogen molecular ion 期刊论文  OAI收割
LASER PHYSICS LETTERS, 2018, 卷号: 15, 期号: 11, 页码: 8
作者:  
Feng, Liqiang;  Feng, April Y.;  Li, Yi
  |  收藏  |  浏览/下载:43/0  |  提交时间:2019/06/20
XUV pulse effect on harmonic emission spectra and attosecond pulse generation 期刊论文  OAI收割
MODERN PHYSICS LETTERS B, 2017, 卷号: 31, 期号: 34
作者:  
Feng, Liqiang;  Castle, R. S.;  Li, Yi
  |  收藏  |  浏览/下载:29/0  |  提交时间:2019/06/20
Characterization and mechanism studies of argon dielectric barrier discharge excited by a Gaussian voltage at atmospheric pressure 期刊论文  OAI收割
scientia sinica physica, mechanica & astronomica, 2016, 卷号: 46, 期号: 11, 页码: 58-67
作者:  
Xu Yonggang;  Zhu Sha;  Tang Jie;  Jiang Weiman;  Wang Yishan
收藏  |  浏览/下载:27/0  |  提交时间:2017/03/10
高重频测距中多脉冲测量数据的处理方法研究 期刊论文  OAI收割
中国激光(hongguo Jiguang/Chinese Journal of Lasers), 2014, 卷号: 41
作者:  
李祝莲;  郑向明;  伏红林;  何少辉;  熊耀恒
收藏  |  浏览/下载:59/0  |  提交时间:2016/04/13
All-solid-state high beam quality 1053nm nd: Glass amplifier at repetition frequency (EI CONFERENCE) 会议论文  OAI收割
2nd International Conference on Optical, Electronic Materials and Applications 2012, OEMA 2012, May 25, 2012 - May 26, 2012, Chongqing, China
作者:  
Qiu J.;  Yu J.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.
收藏  |  浏览/下载:78/0  |  提交时间:2013/03/25
Being an efficient method of information fusion  image fusion has been used in many fields such as machine vision  medical diagnosis  military applications and remote sensing.In this paper  Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing  including segmentation  target recognition et al.  and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First  the two original images are decomposed by wavelet transform. Then  based on the PCNN  a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength  so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So  the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment  the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range  which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore  by this algorithm  the threshold adjusting constant is estimated by appointed iteration number. Furthermore  In order to sufficient reflect order of the firing time  the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved  each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules  the experiments upon Multi-focus image are done. Moreover  comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.