1) time lag cross-correlation analysis
时滞互相关分析
1.
Taking Zhejiang Province as study area,and based on the data of MODIS-EVI,daily mean air temperature and daily precipitation from 52 weather stations,and actual land use in 2001-2004,the time lag cross-correlation analysis was made to relate the seasonal fluctuations of enhanced vegetation index(EVI) of farmland,woodland and garden plot with air temperature and precipitation.
以浙江省为研究区域,利用2001—2004年MOD IS-EVI和52个气象站点的日平均气温和日降水量,结合区域土地利用现状数据,采用时滞互相关分析方法,分析耕地、林地、园地增强型植被指数(EVI)季节变化与气温、降水的相关性。
2) delayed correlation analysis
时滞相关分析
1.
Based on the above works,a delayed correlation analysis method was introduced for the correlation analysis between the Asian summer monsoon system and west Pacific subtropical high area index,and some meaningful interaction processes and characteristic phenomena between them were revealed a.
利用NCEP/NCAR逐候再分析资料,定义并计算了反映亚洲夏季风系统中各成员变化活动的指标参数,在此基础上用时滞相关分析方法,对亚洲夏季风系统诸成员与西太平洋副高面积指数的相关性进行了诊断分析,给出了夏季风系统成员之间相互影响、相互制约的基本作用过程。
3) cross-correlation analysis
互相关分析
1.
The Application of Cross-Correlation Analysis in Near Infrared Spectrum Pretreatment;
互相关分析在近红外光谱预处理中的应用
2.
Application of Hartley transform to cross-correlation analysis;
Hartley变换在互相关分析中应用研究
3.
The effect of cross-correlation analysis in the quantitative analysis based on partial least squares(PLS) to improve the precision of the model had been proved.
研究采用近红外(NIR)光谱技术快速检测纺织原料中桑蚕丝含量的方法,在用偏最小二乘法(PLS)建立校正模型过程中,探讨互相关分析法对提高建模精度的作用。
4) cross correlation analysis
互相关分析
1.
Johnson Noise Thermometry Research Based on Cross Correlation Analysis;
基于互相关分析的约翰逊噪声测温法研究
2.
Cross correlation analysis based on soft measurement techniques offers a shortcut for contactless measurement of the velocity of solid surfaces.
本文介绍基于互相关分析的软测量技术应用 ,在构成固体表面速度软测量系统的基础上就该系统的结构、数学模型和关键技术进行简要论述。
5) cross coherence
互相关分析
1.
In this paper,the simulated experiment were designed and carried out,the leakage points were detected by the estimated time delay with cross coherence and artificial nervous networks(ANN)model,the validities of two methods were demonstrated,especially the fruit results was given by the single sensor method based on ANN.
本文根据管网泄漏的实际情况设计并进行了管网水泄漏的模拟实验 ,对泄漏产生的信号进行了测试分析 ,采用互相关分析估计时间延迟来检测泄漏点位置 ,根据泄漏信号特征构造了人工神经网络模型 ,并用于泄漏点的检测 ,实验研究表明水管泄漏互相关法检测技术是适用可行的 ,但需要两个以上的传感器 ,而神经网络模型则只需一个传感器即可实现泄漏点的检测 ,体现了单传感器实现定位检测的良好前
2.
In this paper, the principle of the pipes leakage detection technique with cross coherence is described systematically first, then the simulated experiment is designed and carried out, the leakage points are detected by the estimated time delay with cross coherence and the validities of this technique demonstrated.
系统介绍了互相关法检测泄漏的基本原理 ,设计了水管泄漏的模拟实验 ,通过对模拟实验测试信号的互相关分析估计时间延迟、检测泄漏点位置 。
6) cross-correlation
互相关分析
1.
The particle image velocimetry (PIV) is an effective and non-intrusive technique to measure the planar distribution of velocity in the fluid based on the cross-correlation of flow images.
PIV技术是一种基于流场图像互相关分析的二维流场非接触式测试技术。
补充资料：相关分析(见统计分析)
相关分析(见统计分析)
x Iangguan fenxj相关分析见统计分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条