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	OPTIMAL MODEL AVERAGING BASED ON GENERALIZED METHOD OF MOMENTS 期刊论文 OAI收割 STATISTICA SINICA, 2021, 卷号: 31, 期号: 4, 页码: 2103-2122 作者: Zhang, Xinyu \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/04/02 Asymptotic optimality consistency generalized method of moments model averaging
	Model averaging based on generalized method of moments 期刊论文 OAI收割 ECONOMICS LETTERS, 2021, 卷号: 200, 页码: 5 作者: Wang, Weiwei; Zhang, Qi; Zhang, Xinyu; Li, Xinmin \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2021/04/26 Generalized method of moments Model averaging Cross-validation criterion Asymptotic optimality
	NONLINEAR VIBRATION RESPONSE AND BIFURCATION OF CIRCULAR CYLINDRICAL SHELLS UNDER TRAVELING CONCENTRATED HARMONIC EXCITATION 期刊论文 OAI收割 ACTA MECHANICA SOLIDA SINICA, 2013, 卷号: 26, 期号: 3, 页码: 277-291 作者: Wang Yanqing; Liang Li; Guo Xinghui; Li Jian; Liu Jing \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/02/26 DYNAMIC STABILITY ANALYSIS PERIODIC AXIAL LOADS INSTABILITY MASS circular cylindrical shell nonlinearity traveling wave method of averaging bifurcation
	Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE) 会议论文 OAI收割 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010, Orlando, FL, United states 作者: Xu S. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 We present a computationally efficient color image fusion algorithm for merging infrared and visible images. At the core of the proposed method is the color transfer technique based on the linear YCBCR space. The method directly uses the grayscale fused image and the difference signals of the input images to construct the source YCBCR components then uses the statistical color transfer technique to form a color fused image that takes the target image's color characteristics. Two different strategies which respectively employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution are proposed to fulfill different user needs. The simple strategy using the pixel averaging fusion scheme answers to a need of easy implementation and speed of use. And the complex strategy using the multiresolution fusion scheme answers to the high quality need of the fused products. In addition we also describe some useful theories about color-transfer-based image fusion. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing "daytime-like" color fused image and even using the pixel averaging fusion scheme to implement the grayscale fusion can also provide a pleasing result. 2010 Copyright SPIE - The International Society for Optical Engineering.
	Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Xue X.-C. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper in view of the low-flying target near the sea is always above the sea-level line we can first locate the sea-level line and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed and the executive time of target segmentation is also much reduced. A new method is proposed which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line lastly uses the centroid tracking algorithm to detect and track the target. In the experiment high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast and eliminate the negative impact of the clutter caused by waves and clouds and capture and track target real-timely and accurately.