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	Conditional importance sampling for particle filters 期刊论文 OAI收割 INFORMATION SCIENCES, 2019, 卷号: 501, 页码: 388-396 作者: Zhang, Qingming; Shi, Buhai; Zhang, Yuhao \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2020/01/10 Importance sampling Conditional density Variance of importance weights Effective sample size Particle filter
	Phase relations of BaCoO3 (- delta)-BaInO2.5 and size variation effect of B-site cations on the phase transitions 期刊论文 OAI收割 SOLID STATE IONICS, 2011, 卷号: 183, 期号: 1, 页码: 7-15 作者: Li, Kuo; Wang, Yingxia; Lin, Jianhua; Li, Zhaofei \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2019/04/09 Perovskite Ba2in2o5 Brownmillerite Size Variance Phase Transition Conductivity
	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：26/0 \| 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.
	Color image quality assessment based on quaternion singular value decomposition (EI CONFERENCE) 会议论文 OAI收割 1st International Congress on Image and Signal Processing, CISP 2008, May 27, 2008 - May 30, 2008, Sanya, Hainan, China 作者: Liu W.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 An effective assessment method for color image is proposed. It is based on the quaternion description for the structural information of color image. The local variance of the luminance layer of color image is taken as the real part of a quaternion then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices correspond to the reference image and the distorted image is used to measure the structural similarity of the two images. Results from experiments show that the proposed method is better consistent with the human visual characteristics than MSE PSNR and SSIM. The images whose size is different from that of the reference image can also be assessed by this method. 2008 IEEE.
	Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.