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Suppression of Pulse Intensity Dependent Dispersion during Nonlinear Spectral Broadening with Intermediate Compression for Passive CEP Stable Pulse Generation 期刊论文  OAI收割
PHOTONICS, 2022, 卷号: 9, 期号: 10
作者:  
Wang, Hushan;  Cao, Huabao;  Wang, Yishan;  Zhao, Wei;  Fu, Yuxi
  |  收藏  |  浏览/下载:44/0  |  提交时间:2022/11/11
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance 期刊论文  OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:  
Xu, Ting-Bing;  Liu, Cheng-Lin
  |  收藏  |  浏览/下载:33/0  |  提交时间:2022/02/16
Nonlinear Compression of Ultrashort-Pulse Laser to 36 fs With 556-MW Peak Power 期刊论文  OAI收割
IEEE PHOTONICS TECHNOLOGY LETTERS, 2018, 卷号: 30, 期号: 13, 页码: 1198-1201
作者:  
Li, Feng;  Yang, Zhi;  Wang, Yishan;  Lv, Zhiguo;  Wei, Yufeng
  |  收藏  |  浏览/下载:81/0  |  提交时间:2018/07/09
Improved Nonlinear Strength Criterion for Jointed Rock Masses Subject to Complex Stress States 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF GEOMECHANICS, 2018, 卷号: 18, 期号: 3, 页码: -
作者:  
Liu, Xuewei;  Liu, Quansheng;  Kang, Yongshui;  Pan, Yucong
  |  收藏  |  浏览/下载:35/0  |  提交时间:2018/06/05
Femtosecond parabolic pulse nonlinear compression with gas-filled hollow-core fiber 期刊论文  OAI收割
chin. phys. b, 2014, 卷号: 23, 期号: 12, 页码: 124210
作者:  
Huang Zhi-Yuan;  Leng Yu-Xin;  Dai Ye
收藏  |  浏览/下载:20/0  |  提交时间:2016/11/28
Femtosecond parabolic pulse nonlinear compression with gas-filled hollow-core fiber 期刊论文  OAI收割
chin. phys. b, 2014, 卷号: 23, 期号: 12, 页码: 124210
作者:  
Huang Zhi-Yuan;  Leng Yu-Xin;  Dai Ye
收藏  |  浏览/下载:9/0  |  提交时间:2016/11/28
Spectrum reshaping of amplified pulse in silicon nanowaveguide 期刊论文  OAI收割
optics communications, 2011, 卷号: 284, 期号: 24, 页码: 5641-5644
作者:  
Wu, Jian-Wei;  Sarma, Amarendra K.;  Zhang, Xu-Ping
收藏  |  浏览/下载:45/0  |  提交时间:2012/06/29
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载:59/0  |  提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Image compression based on contourlet and no lists SPIHT (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Zhang S.
收藏  |  浏览/下载:46/0  |  提交时间:2013/03/25
The volume of raw image data captured by the high resolution camera is extremely huge. Thus the efficient image compression method should be used to decrease the bit rate. The image compression method based on wavelet is used more widely nowadays. However  two dimensional wavelet is only the tensor product of the one dimensional wavelet whose support region of basis function is extended from interval to square. Contourlet is an image multiscale geometric analysis tool  which could represent image sparsely and has strong capability of nonlinear approximation. The basis function of contourlet is multidirectional and anisotropic. Nevertheless  contourlet is redundant. So the non-redundant Wavelet Based Contourlet Transform (WBCT) is used in this paper. The SPIHT algorithm is very efficient way to coding the significant coefficients. And the improved no lists SPIHT is more easy to implemented by hardware. Image compression method based on the combination of both wavelet based contourlet transform and no lists SPIHT coding is proposed in the paper. Experiment shows that compared to wavelet based scheme the contourlet scheme can reserve the texture of the image. For barbara test image when coding at low bit rate the PSNR can improve about 0.2dB. 2010 IEEE.  
Failure process analysis of cement under explosive loading with a generalized driven nonlinear threshold model 会议论文  OAI收割
International Conference on Structural Integrity and Failure/International Conference on Failure Analysis and Maintenance Technologies, Perth, AUSTRALIA, JUL 09-11, 2008
作者:  
Wang HY(汪海英);  Yong L;  Hao SW(郝圣旺);  Bai YL(白以龙);  Wang HY
收藏  |  浏览/下载:1223/86  |  提交时间:2009/07/23