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9条,第1-9条 帮助

条数/页: 排序方式:
Radio Environment Map-Aided Doppler Shift Estimation in LTE Railway 期刊论文  OAI收割
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 卷号: 66, 期号: 5, 页码: 4462-4467
作者:  
Hou, Zhanwei;  Zhou, Yiqing;  Tian, Lin;  Shi, Jinglin;  Li, Yonghui
  |  收藏  |  浏览/下载:77/0  |  提交时间:2019/12/12
Molecular mechanics force field-based general map for the solvation effect on amide I probe of peptide in different micro-environments 期刊论文  OAI收割
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2014, 卷号: 117, 页码: 548-556
作者:  
Cai, Kaicong;  Su, Tingting;  Lin, Shen;  Zheng, Renhui
  |  收藏  |  浏览/下载:29/0  |  提交时间:2019/04/09
Landslide temporal analysis and susceptibility assessment as bases for landslide mitigation, Machu Picchu, Peru 期刊论文  OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2013, 卷号: 70, 期号: 2, 页码: 913-925
作者:  
Klimes, Jan
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/06/05
Temperature-Dependence of the Amide-I Frequency Map for Peptides Proteins 期刊论文  OAI收割
CHINESE JOURNAL OF CHEMICAL PHYSICS, 2011, 卷号: 24, 期号: 5, 页码: 529-537
作者:  
Han, Chen;  Wang, Jian-ping
  |  收藏  |  浏览/下载:19/0  |  提交时间:2019/04/09
Temperature-Dependence of the Amide-I Frequency Map for Peptides Proteins 期刊论文  OAI收割
chinese journal of chemical physics, 2011, 卷号: 24, 期号: 5, 页码: 529-537
作者:  
Han, Chen;  Wang, Jian-ping
收藏  |  浏览/下载:19/0  |  提交时间:2015/11/12
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:77/0  |  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.  
Application of frequency map analysis to the BEPC II lattice 期刊论文  OAI收割
HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2007, 卷号: 31, 期号: 6, 页码: 586-592
作者:  
Jiao Y(焦毅);  Zhou DM(周德民);  Wang JQ(王九庆);  Qin Q(秦庆);  Xu G(徐刚)
收藏  |  浏览/下载:40/0  |  提交时间:2016/06/28
Compression of remote sensing image based on Listless Zerotree Coding and DPCM (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Chen S.-L.; Huang L.-Q.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
The data quantity of remote sensing image is very large. Furthermore  the lowest frequency subband contains the main energy of original image and reflects the coarse of original image after remote sensing image is transformed by wavelet  so it is very important to the reconstructed image. Therefore a hybrid image compression method based on Listless Zerotree Coding (LZC) and DPCM is presented  namely  the lowest frequency subband is compressed by DPCM and others are compressed by LZC. LZC is a kind of zerotree coding algorithm for hardware implementation  which is based on SPIHT and substitutes two significant bit maps for three lists in SPIHT algorithm. Thereby LZC significantly reduces the memory requirement and complexity during encoding and decoding procedure. But LZC doesn't recognize the significance of grandchild sets  so the PSNR values of LZC are lower than SPIHT's and the compression speed drops. It is improved by adding a significant bit map that recognizes the significance of grandchild sets. A comparison reveals that the PSNR results of the hybrid compression method are 2 dB higher than those of LZC  and the compression speed is also improved.  
Tune optimization of modern light sources 期刊论文  OAI收割
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2006, 卷号: 566, 期号: 2, 页码: #REF!
作者:  
Jiao Y(焦毅)
收藏  |  浏览/下载:18/0  |  提交时间:2016/04/12