中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Polarization Reconstruction Algorithm of Target Based on the Analysis of Noise in Complex Underwater Environment 期刊论文  OAI收割
FRONTIERS IN PHYSICS, 2022, 卷号: 10
作者:  
Song, Qiang;  Liu, Xiao;  Huang, Honglian;  Ti, Rufang;  Sun, Xiaobing
  |  收藏  |  浏览/下载:25/0  |  提交时间:2022/12/23
Evolutionary support vector machine for RMB exchange rate forecasting 期刊论文  OAI收割
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 521, 页码: 692-704
作者:  
Fu, Sibao;  Li, Yongwu;  Sun, Shaolong;  Li, Hongtao
  |  收藏  |  浏览/下载:52/0  |  提交时间:2020/01/10
LOS rate reconstruction and application of roll-pitch seeker (EI CONFERENCE) 会议论文  OAI收割
2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China
Yang C.; Zhang N.; Jia H.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
用于高重复频率热容主振荡功率放大器激光系统的波前检测技术 期刊论文  OAI收割
中国激光, 2008, 卷号: 35, 期号: 7, 页码: 1055, 1058
邓泽微; 马秀华; 施翔春
收藏  |  浏览/下载:1812/212  |  提交时间:2009/09/18
Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文  OAI收割
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
作者:  
Liu H.;  Liu H.;  Liu H.
收藏  |  浏览/下载:41/0  |  提交时间:2013/03/25
An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image  thus facilitating accurate diagnosis  of course at the expense of higher bit rates  i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization  wavelet coding  neural networks  and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1  or even more)  they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image  but the achievable compression ratios are only of the order 2:1  up to 4:1. In our paper  we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time  we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance  so that all the low rate codes are included at the beginning of the bit stream. Typically  the encoding process stops when the target bit rate is met. Similarly  the decoder can interrupt the decoding process at any point in the bil stream  and still reconstruct the image. Therefore  a compression scheme generating an embedded code can start sending over the network the coarser version of the image first  and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.  
Minimum Conflict Individual Haplotyping from SNP Fragments and Related Genotype 期刊论文  OAI收割
EVOLUTIONARY BIOINFORMATICS, 2006, 卷号: 2, 页码: 261-270
作者:  
Zhang, Xiang-Sun;  Wang, Rui-Sheng;  Wu, Ling-Yun;  Zhang, Wei
  |  收藏  |  浏览/下载:21/0  |  提交时间:2018/07/30