中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共8条,第1-8条 帮助

条数/页: 排序方式:
In-plane adjustment of atomic positions and layer-dependent friction in 2D materials 期刊论文  OAI收割
Applied Surface Science, 2023, 期号: 620, 页码: 156810
作者:  
Minjuan He;  Yunfeng Wang;  Wenhao He;  Yuan Niu;  Zhibin Lu
  |  收藏  |  浏览/下载:13/0  |  提交时间:2024/01/02
Brain-state dependent uncoupling of BOLD and local field potentials in laminar olfactory bulb 期刊论文  OAI收割
NEUROSCIENCE LETTERS, 2014, 卷号: 580, 页码: 1-6
作者:  
Gong, Ling;  Li, Bo;  Wu, Ruiqi;  Li, Anan;  Xu, Fuqiang
收藏  |  浏览/下载:40/0  |  提交时间:2015/06/24
Complex relationship between BOLD-fMRI and electrophysiological signals in different olfactory bulb layers 期刊论文  OAI收割
NEUROIMAGE, 2014, 卷号: 95, 页码: 29-38
作者:  
Li, Bo;  Gong, Ling;  Wu, Ruiqi;  Li, Anan;  Xu, Fuqiang
收藏  |  浏览/下载:47/0  |  提交时间:2015/06/24
A new algorithm for frequency-dependent shear-wave splitting parameters extraction 期刊论文  OAI收割
Journal of Geophysics and Engineering, 2013, 卷号: 10, 期号: 5, 页码: 1-8
作者:  
Jian-li Zhang;  Yun Wang;  Jun Lu
  |  收藏  |  浏览/下载:21/0  |  提交时间:2020/12/18
Observation of the surface circular photogalvanic effect in inn films 期刊论文  iSwitch采集
Solid state communications, 2009, 卷号: 149, 期号: 25-26, 页码: 1004-1007
作者:  
Zhang, Z.;  Zhang, R.;  Xie, Z. L.;  Liu, B.;  Li, M.
收藏  |  浏览/下载:26/0  |  提交时间:2019/05/12
Oscillatory flow at the onset of convection in two-layer Bénard-Marangoni system 会议论文  OAI收割
60th International Astronautical Congress 2009, IAC 2009, Daejeon, Korea, Republic of, October 12, 2009 - October 16, 2009
作者:  
Kang Q(康琦);  Li LJ(李陆军);  Duan L(段俐);  Hu WR(胡文瑞)
收藏  |  浏览/下载:23/0  |  提交时间:2017/07/14
Observation of the surface circular photogalvanic effect in InN films 期刊论文  OAI收割
solid state communications, 2009, 卷号: 149, 期号: 25-26, 页码: 1004-1007
Zhang Z; Zhang R; Xie ZL; Liu B; Li M; Fu DY; Fang HN; Xiu XQ; Lu H; Zheng YD; Chen YH; Tang CG; Wang ZG
收藏  |  浏览/下载:166/1  |  提交时间:2010/03/08
A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文  OAI收割
2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China
Zhao X.; Fu D.; Zhai L.
收藏  |  浏览/下载:68/0  |  提交时间:2013/03/25
Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures  typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First  decompose and reconstruct the image by wavelet packet. Before constructing the image  use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second  probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects  to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented  showing the quality of the proposed method. 2008 IEEE.