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	Sentence Context Modulates the Neighborhood Frequency Effect in Chinese Reading: Evidence From Eye Movements 期刊论文 OAI收割 JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION, 2021, 页码: 12 作者: Yao, Panpan; Slattery, Timothy J.; Li, Xingshan \| 收藏 \| 浏览/下载：60/0 \| 提交时间：2022/01/21 Chinese reading context effect eye-tracking neighborhood frequency effect word recognition
	The Research of real time auto-recognition of the moire fringe (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Wang M.-J.; Wu Z.-G. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 Measuring the movement of raster by the method of moire fringe has the advantage of high sensitivity high resolution and non-contacted measurement. The characteristic of moire fringe is that the image is white alternate with black the angle of the stripes is uniform the width of the stripes is uniform the terminators of the stripes aren't clear. A fast method that can figure out the width and angle of the moire fringe precisely is put forward in this paper. It calculates the angle the stripes firstly. According to the principle of the minimum mean squared error (MMSE) the closer a series of data is the smaller the value of the MMSE will be. The method is described as follows: It takes the image's center as the origin 180 beelines pass through the origin with the same angle interval. it calculates the value of the minimum mean squared error of the 180 beelines and find out the least one among those then the angle of the moire fringe comes out primarily. In order to improving the calculating precision of moire fringe 60 equal angles are divided in the neighborhood of the angle then a precise angle of moire fringe is calculated according to the principle of the MMSE. After getting out the angle of the moire fringe we begin to calculate the width of moire fringe. A line vertical with the moire fringe is drawn and we can get the width of the moire fringe by the vertical line. In order to get over the influence of the noise an effective area with the shape of diamond is selected in the image. The data of area is accumulated and projected according to the direction of moire fringe and a sine curve come out. The width of moire fringe can be obtained by getting the position of the first wave crest the position of the last wave crest and the number of wave crest. Experiments prove that the precision of the method put forward in this paper is enhanced in comparison with the traditional frequency method the precision of width calculation achieves to 99.6% according to the evaluation indicators of width detection error. The computing speed is boosted largely compared with traditional method and it can achieve with 15 ms that satisfying the demand of real time. 2011 SPIE.
	Orthographic neighborhood size effect in Chinese character naming: Orthographic and phonological activations 期刊论文 OAI收割 ACTA PSYCHOLOGICA, 2011, 卷号: 136, 期号: 1, 页码: 35-41 作者: Li, Qing-Lin; Bi, Hong-Yan; Wei, Tong-Qi; Chen, Bao-Guo; Bi, HY (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, 4A Datun Rd, Beijing 100101, Peoples R China. \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2011/11/11 Orthographic neighborhood Neighborhood frequency Chinese naming
	Neural correlates of the orthographic neighborhood size effect in Chinese 期刊论文 OAI收割 EUROPEAN JOURNAL OF NEUROSCIENCE, 2010, 卷号: 32, 期号: 5, 页码: 866-872 作者: Li, Qing-Lin; Bi, Hong-Yan; Zhang, J. X.; Bi HY(毕鸿燕) \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2011/11/14 Chinese character naming fMRI neighborhood frequency neighborhood size
	A new image fusion algorithm based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者: He X.; Zhang Y.; Zhang L.-G.; Zhang L.-G. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 A new image fusion algorithm based on lifting wavelet transform is presented in this paper. The source images are decomposed using lifting wavelet transform respectively. Aiming at the coefficients of low frequency and high frequency this algorithm choose a different rule to fuse the image. To the low frequency the spatial frequency based on the neighborhood add consistency check is elected as the fusion guide. And the absolute maximum based on detail coefficients is selected as the guide to the high frequency. After that the fused image is obtained by using inverse lifting wavelet transform. Taking the ratio space frequency error and the mean gradient as criterions experimental results demonstrate that the algorithm is very effective. 2010 IEEE.