QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 限定条件 内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Computationally efficient method for 2-D DOA estimation with L-shaped sensor array 会议论文 作者:  Wang, Guangmin;  Xin, Jingmin;  Zheng, Nanning 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/18 Asymptotic mean square error  Azimuth and elevation angles  Computationally efficient  Cross correlation matrices  DOA estimation method  Estimation performance  Two Dimensional (2 D)  Uniform linear arrays   Research and application of modeling for spacecraft TT&C ship swaying data 会议论文 作者:  Zhang, Zhonghua;  Huang, Kai;  Li, Xiaoyong;  Yang, Lei;  Chen, Guiming 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/18 Auto regressive models  Model application  Predicting method  Real time filtering  Research and application  Residual correlation  RMSE (root mean square error)  Time sequences   Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study 会议论文 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Du, Cong; Wang, Shixin; Zhou, Yi; Yan, Fuli 收藏  |  浏览/下载：19/0  |  提交时间：2014/12/07 In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval  this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50gA&bullL-1. And then build the statistical models for each group. Particularly  a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result  the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12gA&bullL-1 and the determination coefficient (R2) was 0.92  comparing with RMSE of chla estimation was 35.72gA&bullL-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters. 2008 SPIE.   Comparison of two suboptimal SISO iterative demodulators: LMMSE estimation and vector gaussian approximation 会议论文 作者:  Zhang, Guomei;  Zhu, Shihua;  Wang, Shaopeng 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/18 Block processing  Demodulation method  Gaussian approximations  Iterative detection  Linear minimum mean square error(LMMSE)  LMMSE estimations  Matrix inverse operation  Soft interference cancellation   Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE) 会议论文 ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China Chen H.-C.; Chen X.-D.; Lu Y.-J.; Cao Z.-Q. 收藏  |  浏览/下载：18/0  |  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.