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	The application of TMS320c64x DSP assembly language in correlation tracking algorithms (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China Huang D.; Wu Z.; Liang M.; Dong Y.; Peng T. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 In order to improve the real-time performance of the conventional correlation tracking algorithm based on full search method for its huge computation amount and vast correlation matching times in the process of searching an optimal matching position a method of combining the TMS320C64x DSP assembly language and software pipelining is proposed to realize template matching which costs the most time of the algorithm. Choose high performance DSP chip TMS320DM642 as the core processor of the hardware platform and schedule each one of the instruction in the algorithm to maximize performance using the instruction-level parallelism of the DSP. The experimental results indicate the time of template image matching implemented in assembly language has decreased from 49.36ms to 0.62ms. It is concluded that the correlation tracking adopting proposed method can meet the real-time and stability requirement of the target tracking. 2010 IEEE.
	On the linear span of a binary sequence family with optimal correlation properties 期刊论文 iSwitch采集 Ieice transactions on fundamentals of electronics communications and computer sciences, 2008, 卷号: E91a, 期号: 2, 页码: 664-672 作者: Zeng, Xiangyong; Liu, John Q.; Hu, Lei; Taylor, Desmond P. 收藏 \| 浏览/下载：29/0 \| 提交时间：2019/05/10 Sequences Optimal correlation Linear span Ideal autocorrelation
	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：27/0 \| 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.