中国科学院机构知识库网格系统: 检索

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	A 16-Gb/s 3-tap adaptive DFE in 12-nm FinFET CMOS technology 期刊论文 OAI收割 MICROELECTRONICS JOURNAL, 2024, 卷号: 149, 页码: 10 作者: Sun, Xinzhuo; Ding, Jianping; Yang, Liqiong; Lin, Changlong; Li, Yao \| 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/12/06 Decision feedback equalizers (DFEs) Adaptive equalization Regenerating sampler (RG-Sampler) Sign-sign least-mean-squares (SSLMS) 2-D eye-opening monitor (EOM) Receiver
	Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square 期刊论文 OAI收割 SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 292, 页码: 17 作者: Shan, Peng; Bi, Yiming; Li, Zhigang; Wang, Qiaoyun; He, Zhonghai \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/11/17 Model adaptation Domain-invariant feature representation Projected maximum mean discrepancy Kernel partial least squares
	A Note on the Convergence of Distributed RLS 期刊论文 OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 卷号: 67, 期号: 12, 页码: 6762-6769 作者: Liu, Zhaobo; Li, Chanying \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2023/02/07 Distributed estimation mean square convergence noises recursive least squares strong consistency
	Analysis of Distributed Adaptive Filters Based on Diffusion Strategies Over Sensor Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 卷号: 63, 期号: 11, 页码: 3643-3658 作者: Xie, Siyu; Guo, Lei \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2019/01/11 Diffusion strategies distributed adaptive filters least mean squares stochastic stability tracking performance
	ANALYSIS OF NORMALIZED LEAST MEAN SQUARES-BASED CONSENSUS ADAPTIVE FILTERS UNDER A GENERAL INFORMATION CONDITION 期刊论文 OAI收割 SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2018, 卷号: 56, 期号: 5, 页码: 3404-3431 作者: Xie, Siyu; Guo, Lei \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/01/11 distributed adaptive filter consensus algorithm least mean squares information condition stochastic stability tracking performance
	Pollen-based reconstructions of Late Holocene climate on the southern slopes of the central Tianshan Mountains, Xinjiang, NW China 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 卷号: 37, 期号: 4, 页码: 1814-1823 作者: Zhang, Yun; Kong, Zhaochen; Yang, Zhenjing \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/03/28 surface pollen fossil pollen weighted averaging partial least squares regression method mean annual precipitation mean annual temperature Tianshan Mountains
	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：36/0 \| 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.
	Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE) 会议论文 OAI收割 ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China 作者: Chen X.-D.; Chen X.-D. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR) principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.