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	Development of the Sanya Incoherent Scatter Radar and Preliminary Results 期刊论文 OAI收割 JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2022, 卷号: 127, 期号: 8, 页码: 23 作者: Yue, Xinan; Wan, Weixing; Ning, Baiqi; Jin, Lin; Ding, Feng \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2023/04/06 incoherent scatter radar ionosphere phased array electron density hard target SYISR
	Study on Mnospectral Peak Identification of Hard Target 会议论文 OAI收割 hefei, 2019-9 作者: LIU Jia Xiang; LIU Jia Ju; ZHU Zhi Zheng; FANG YongHua; DONG Xiao \| 收藏 \| 浏览/下载：70/0 \| 提交时间：2021/12/09 Monospectral peak identification Brewster angle Hard target Detection
	Dual efficient self-attention network for multi-target detection in aerial imagery 会议论文 OAI收割 Shenyang, China, August 28-30, 2019 作者: Wang SK(王思奎); Liu YP(刘云鹏); Lin ZY(林智远); Zhang ZY(张钟毓) \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2020/03/22 Target detection Self-attention block Deconvolutional module Semantic features Hard examples mining
	Partonic state and single transverse spin asymmetry in Drell-Yan process 期刊论文 OAI收割 JOURNAL OF HIGH ENERGY PHYSICS, 2008, 期号: 11, 页码: - 作者: Ma, J. P.; Ma, JP , Acad Sinica, Inst Theoret Phys, POB 2735, Beijing 100080, Peoples R China; Sang, H. Z. \| 收藏 \| 浏览/下载：62/0 \| 提交时间：2012/08/02 Deep-inelastic Scattering Semiinclusive Pion Electroproduction Polarized Deuterium Target To-back Jets Azimuthal Asymmetries Quark Polarization Cross-sections Fragmentation Function Hard Scattering Sivers Function
	Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wu Y.-H. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1 2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak and it reduces processing time. Since the technique proposed uses all the image information including all the white noise in the image especially and it's hard to overcome the aliasing from noises but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.
	On unique predictions for single spin azimuthal asymmetry 期刊论文 OAI收割 EUROPEAN PHYSICAL JOURNAL C, 2004, 卷号: 37, 期号: 3, 页码: 293-298 作者: Wang, Q; Ma, JP; Ma, JP , Acad Sinica, Inst Theoret Phys, POB 2735, Beijing 100080, Peoples R China. \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2012/08/30 Deep-inelastic Scattering Final-state Interactions Drell-yan Process Semiinclusive Pion Electroproduction Polarized Deuterium Target Chiral-odd Contribution Parton Distributions Fragmentation Function Hard-scattering Sivers Function