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	The Study of the Bistatic Cross-Correlation Function of Two Signals Separated in Frequency Reflected by the Water Surface 期刊论文 OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 16, 页码: 12 作者: Titchenko, Yury; Guo, Jie; Karaev, Vladimir; Kovaldov, Dmitry; He, Yijun \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2024/01/26 bistatic radar radar theory radar remote sensing correlation coefficient ocean waves cross-correlation of signals significant wave height
	The Study of the Bistatic Cross-Correlation Function of Two Signals Separated in Frequency Reflected by the Water Surface 期刊论文 OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 16, 页码: 12 作者: Titchenko, Yury; Guo, Jie; Karaev, Vladimir; Kovaldov, Dmitry; He, Yijun \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/11/08 bistatic radar radar theory radar remote sensing correlation coefficient ocean waves cross-correlation of signals significant wave height
	Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction 期刊论文 OAI收割 BMC Genomics, 2018, 卷号: 19, 期号: 1 作者: Yu,Bin; Li,Shan; Qiu,Wenying; Wang,Minghui; Du,Junwei \| 收藏 \| 浏览/下载：65/0 \| 提交时间：2018/07/30 Apoptosis proteins Subcellular localization Pseudo-position specific scoring matrix Detrended cross-correlation analysis coefficient Local fisher discriminant analysis Support vector machine
	Human age estimation with surface-based features from MRI images 会议论文 OAI收割美国, 2012/10/1 作者: Wang, Jieqiong; Dai, Dai; Li, Meng; Hua, Jing; *He, Huiguang \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2018/02/14 Age Estimation Age-based Brain Images Brain Networks Correlation Coefficient Cross Validation Data Sets Gaussian Curvatures Healthy Subjects Human Age Estimation Mean Absolute Error Mean Curvature Mri Image Regional Feature Regression Model Relevance Vector Machine Root Mean Squared Errors Surface Area Surface-based
	The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li S.; Wang C.; Chen X.; Chen X.; Chen X. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 The author Shangyu Li engages in supervising and inspecting the quality of products. In soy sauce manufacturing quality control of intermediate and final products by many components such as total nitrogen saltless soluble solids nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids total nitrogen total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen 0.913 and 1.215 for saltless soluble solids 0.855 and 0.199 nitrogen of amino acids 0.966 and 0.231 for total acid respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.
	Tracking algorithms for low-contrast extended objects 期刊论文 OAI收割 CHINESE ASTRONOMY AND ASTROPHYSICS, 2002, 卷号: 26, 期号: 1, 页码: 115-124 作者: Rao, CH; Jiang, WH; Ling, N; Beckers, JM 收藏 \| 浏览/下载：26/0 \| 提交时间：2015/09/21 contrast extended object cross-correlation coefficient absolute difference algorithm atmospheric coherent length