中国科学院机构知识库网格
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Conflict Adaptation in 5-Year-Old Preschool Children: Evidence From Emotional Contexts 期刊论文  OAI收割
FRONTIERS IN HUMAN NEUROSCIENCE, 2019, 卷号: 13, 页码: 12
作者:  
Li, Danfeng;  Liu, Tongran;  Shi, Jiannong
  |  收藏  |  浏览/下载:64/0  |  提交时间:2019/03/01
Stabilization effect of amino acid side chains in peptide assemblies on graphite studied by scanning tunneling microscopy 期刊论文  iSwitch采集
Chemphyschem, 2017, 卷号: 18, 期号: 8, 页码: 926-934
作者:  
Guo, Yuanyuan;  Hou, Jingfei;  Zhang, Xuemei;  Yang, Yanlian;  Wang, Chen
收藏  |  浏览/下载:41/0  |  提交时间:2019/04/23
A comparative analysis of protein targets of withdrawn cardiovascular drugs in human and mouse 期刊论文  OAI收割
Journal of Clinical Bioinformatics, 2012, 卷号: 2, 期号: 1, 页码: e10
作者:  
Zhao YQ;  Wang JW;  Wang YJ;  Huang JF[*]
收藏  |  浏览/下载:17/0  |  提交时间:2013/09/17
Estimation algorithm of mobile OFDM CFOs based on step-size (EI CONFERENCE) 会议论文  OAI收割
2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China
Lin L.; Qiao Y.-F.; Su W.-X.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
In order to maintain orthogonality among subcarriers for mobile OFDM  a CFOs step-size estimation model is established to avoid severe performance degradation caused by ICI  and algorithmic stability  step-size parameter  the error of CFOs estimate and etc are investigated. First  after an averaging window algorithm is introduced  the mathematic model of step-size estimation algorithm is obtained through step-size parameter and time-varying CFOs. Then  based on the results of MATLAB simulation  the determination of step-size parameter  the advantages of step-size algorithm and precision are discussed. Finally  time sequence plots of added CP  interleaver and subcarrier modulation with VHDL are presented. Experimental results indicate that the maximum of CFOs errors is 0.00987 in 3 variance interval  when mobile velocity is 400 km/h  according with verdicted principle that in order for the ICI effects to be negligible  the error of CFOs estimation must be accurate within 1-2% of the subcarrier spacing  and programs can correctly implement on circuit board. 2009 IEEE.  
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.