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浏览/检索结果: 共16条,第1-10条 帮助

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Mathematical Relations Between Measures of Brain Connectivity Estimated From Electrophysiological Recordings for Gaussian Distributed Data 期刊论文  OAI收割
FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 14, 页码: 17
作者:  
Nolte, Guido;  Galindo-Leon, Edgar;  Li, Zhenghan;  Liu, Xun;  Engel, Andreas K.
  |  收藏  |  浏览/下载:91/0  |  提交时间:2020/12/28
Unpolarized isovector quark distribution function from lattice QCD: A systematic analysis of renormalization and matching 期刊论文  OAI收割
PHYSICAL REVIEW D, 2020, 卷号: 101, 期号: 3, 页码: 34020
作者:  
Liu, Yu-Sheng;  Chen, Jiunn-Wei;  Huo, Yi-Kai;  Jin, Luchang;  Schlemmer, Maximilian
  |  收藏  |  浏览/下载:131/0  |  提交时间:2020/06/16
Influence of Rising Sea Level on Tidal Dynamics in the Bohai Sea 期刊论文  OAI收割
JOURNAL OF COASTAL RESEARCH, 2016, 页码: 22-31
作者:  
Li, YF;  Zhang, H;  Tang, C;  Zou, T;  Jiang, DJ
收藏  |  浏览/下载:35/0  |  提交时间:2016/11/30
Morphometric traits capture the climatically driven species turnover of 10 spruce taxa across China 期刊论文  OAI收割
ECOLOGY AND EVOLUTION, 2016, 卷号: 6, 期号: 4, 页码: 1203-1213
作者:  
Li, He;  Wang, GuoHong;  Zhang, Yun;  Zhang, WeiKang
  |  收藏  |  浏览/下载:22/0  |  提交时间:2022/07/08
Information on the pion distribution amplitude from the pion-photon transition form factor with the Belle and BABAR data 期刊论文  OAI收割
Chinese Physics C, 2013, 期号: 5, 页码: 38-43
作者:  
Wu XG(吴兴刚);  黄涛(理);  Zhong T(钟涛)
收藏  |  浏览/下载:15/0  |  提交时间:2015/12/10
Analysis of a diffractive microlens using the finite-difference time-domain method (EI CONFERENCE) 会议论文  OAI收割
作者:  
Liu Y.;  Liu H.;  Liu H.;  Liu H.;  Liu Y.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
The finite-difference time-domain (FDTD) method is used as rigorous electromagnetic analysis model to calculate the field for a diffractive microlens (DML). The FDTD is used for the entire solution rather than using a near- to far-field propagation method to obtain the far-field energy distribution  thus  all the results are vector based. We derived a formula to calculate the magnitude of electric field  which is time dependent and can be used to graphically show the light wave propagation and focusing process through a DML. Both the comparison and the integral methods are presented to obtain wave amplitude in full solution space  and the distribution of light energy behind a DML is illustrated based on the wave amplitude. The formula of diffractive efficiency of the DML is derived from a time-averaged Ponyting vector  which can indicate the propagation direction of light energy. Application of these formulations in the analysis of a DML example demonstrates the high accuracy and efficiency of our method. 2010 Society of Photo-Optical Instrumentation Engineers.  
Covariant light-front approach for B(c) transition form factors 期刊论文  OAI收割
PHYSICAL REVIEW D, 2009, 卷号: 79, 期号: 5, 页码: -
作者:  
Wang, W , Chinese Acad Sci, Inst High Energy Phys, Beijing 100049, Peoples R China;  Wang, Wei;  Shen, Yue-Long;  Lue, Cai-Dian
  |  收藏  |  浏览/下载:42/0  |  提交时间:2012/08/02
Rigorous vector analysis of diffractive microlens by using of finitedifference time-domain method (EI CONFERENCE) 会议论文  OAI收割
2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 22, 2009, Shanghai, China
作者:  
Liu Y.;  Liu H.;  Liu H.;  Liu H.;  Liu Y.
收藏  |  浏览/下载:36/0  |  提交时间:2013/03/25
We use finite difference time domain (FDFD) method as rigorous vector analysis model to simulate the focusing process of diffractive microlens (DML). Differing with most analysis model which the near field distributions are calculated by FDTD and then far field are obtained by using of propagation method  we obtain the fields in whole computational space by using of FDTD only. The advantages are that all the results are vector based and the computational time is saved greatly. In this paper  we present two methods to obtain wave amplitude  one is comparison method  and the other is integral method. Depending on wave amplitude in the whole computational space  one can conveniently obtain distributions of electric field intensity and calculate the time-average Poynting vector. We also present the formulation for calculating diffractive efficiency of DML based on time-average Poynting vector which denotes energy flow. As demonstration  a DML is analyzed by using of these algorithms. The time depended graphic results of FDTD show the process of wave propagation. The distribution of electric field intensity illustrates the focusing of the normal incident light. The focus pattern in the focal plane is also show. The diffractive efficiency of the DML is calculated by using of the energy flow method in this paper. The results show the high accuracy and efficiency of the model. 2009 SPIE.  
A generator for multipole analysis of psi '->gamma ''chi ->gamma 'gamma j/psi 期刊论文  iSwitch采集
High energy physics and nuclear physics-chinese edition, 2006, 卷号: 30, 期号: 8, 页码: 718-723
作者:  
收藏  |  浏览/下载:42/0  |  提交时间:2019/04/23
Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE) 会议论文  OAI收割
2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China
作者:  
Li W.;  Li W.;  Zhang H.;  Zhang H.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales  a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse  Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis  multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.