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10条,第1-10条 帮助

条数/页: 排序方式:
Quantum random number Gaussian noise signal generator 期刊论文  OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 7, 页码: 1492-1499
作者:  
H.-W.Yu;  X.-J.Sun;  X.-C.Wang;  K.Jiang;  Y.Wu
  |  收藏  |  浏览/下载:43/0  |  提交时间:2020/08/24
A Robust Sparse Representation Based Pattern Recognition Approach for Myoelectric Control 期刊论文  OAI收割
IEEE ACCESS, 2018, 卷号: 6, 页码: 38326-38335
作者:  
Geng, Yanjuan;  Ouyang, Yatao;  Samuel, Oluwarotimi Williams;  Chen, Shixiong;  Lu, Xiaoqiang
  |  收藏  |  浏览/下载:43/0  |  提交时间:2018/09/14
Intensity enhancement in the molecular ionization and dissociation dynamics in the presence of noise 期刊论文  OAI收割
journal of molecular modeling, 2012, 卷号: 18, 期号: 12, 页码: 5097-5106
作者:  
Feng, Li-Qiang;  Chu, Tian-Shu
收藏  |  浏览/下载:29/0  |  提交时间:2013/10/11
frequency-hopping/m-ary frequency-shift keying for wireless sensor networks: noncoherent detection and performance 会议论文  OAI收割
2010 7th International Symposium on Wireless Communication Systems, ISWCS10, York, United kingdom, September
Yang Fucheng; Yang Lie-Liang; Wei Huangfu; Sun Limin
  |  收藏  |  浏览/下载:19/0  |  提交时间:2011/03/31
error probability analysis of ofdm systems with ici self-cancellation over awgn and rayleigh flat-fading channels 会议论文  OAI收割
2009 15th Asia-Pacific Conference on Communications, APCC 2009, Shanghai, China, October 8,
Wang Yin; Huang ZhiYu
  |  收藏  |  浏览/下载:24/0  |  提交时间:2011/03/20
Study of unequal error protection method based on JPEG2000 for surveyingmapping image (EI CONFERENCE) 会议论文  OAI收割
International Conference on Computer Science and Software Engineering, CSSE 2008, December 12, 2008 - December 14, 2008, Wuhan, Hubei, China
Yao Q.; Cao M.
收藏  |  浏览/下载:175/0  |  提交时间:2013/03/25
On aviation mapping  compression image maybe not decode because of wireless transmission interference. UEP(Unequal Error Protection) scheme is put forward about layer and block structure of JPEG2000 image compression method  flexibly enhances local reconfigurable image's quality which is in favor of identifier in the region of interest. 2008 IEEE.  and realizes three degrees UEP of data block  data header  image data via various degrees correction-coding under the condition of obstruct  naked and shade. BCH  RS and Hamming coding are simulated  and image decoding success rate and image's quality are analyzed according to different coding and ROI (Region of Interest) in the Gaussian white noise model and rayleigh fading model. Results shows that the method we putted forward roughly improves decoding success rate  at the same time  almost not increasing bandwidth  
Blind deconvolution of seismic signals with non-white reflectivities 期刊论文  OAI收割
EXPLORATION GEOPHYSICS, 2007, 卷号: 38, 期号: 4, 页码: 235-241
作者:  
Wu, He-Zhen;  Fu, Li-Yun;  Meng, Xiao-Hong
  |  收藏  |  浏览/下载:30/0  |  提交时间:2018/09/26
Blind deconvolution of seismic signals with non-white reflectivities 期刊论文  OAI收割
EXPLORATION GEOPHYSICS, 2007, 卷号: 38, 期号: 4, 页码: 235-241
作者:  
Wu, He-Zhen;  Fu, Li-Yun;  Meng, Xiao-Hong
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/09/26
CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang J.-L.;  Wang J.-L.;  Li D.-Y.;  Wang Y.-P.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
In the procedure of computed radiography imaging  we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing  we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail  the author think that the major two noises are Gaussian white noise and Poisson noise. Then  the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images  a multiscale image filtering algorithm  which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model  has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix  then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM  according to scale size  and achieve the experiments as well as the comparison with other denoising methods were presented at last.  
Gaussian white noise calculus of generalized expansion 期刊论文  OAI收割
ACTA MATHEMATICA SCIENTIA, 2002, 卷号: 22, 期号: 3, 页码: 359-368
作者:  
Chen, ZQ
收藏  |  浏览/下载:28/0  |  提交时间:2015/12/03