1) Spatial Binary Nonlinear Correlator
空域二值化非线性相关器
1.
Spatial Binary Nonlinear Correlator (SBNC), here we discuss, isa kind of nonlinear optical pattern recognition systems with excellent performance.
本论文所要研究的空域二值化非线性相关器(Spatial Binary Nonlinear Correlator,简称SBNC)就是一类性能出色的非线性光学模式识别系统。
2) spatial correlation
空域相关性
1.
Aiming at the two contrary viewpoints about the effects of mutual coupling on spatial correlation,two mutual coupling compensation techniques are employed to derive the channel capacity of multi-antenna system.
针对互耦对空域相关性影响的两种对立观点,分别应用不同的互耦补偿方法修正多天线系统的传输矩阵,推导出容量公式。
2.
The general coupling coefficients matrix from the equivalent network model of the multiple-antenna are obtained, and the analytical expressions for both the average received power for each antenna element and the spatial correlation between elements are also derived.
基于多天线系统等效网络模型,导出通用耦合系数矩阵,进一步推导天线单元平均接收功率以及空域相关系数的解析式,分析互耦对平均接收功率以及互耦与平均到达角对MIMO无线信道空域相关性及其容量的影响,并给出互耦无影响与天线单元功率平衡以及互耦解相关的条件,最后给出一些数值结果以指导MIMO多天线设计。
3.
A dynamic MIMO scattering wireless channel model is proposed,based on the multiple-input-multiple-output(MIMO) scattering wireless channel model and is used to analyze the effect of mobility of the scatterers and transceiver antennas on the spatial correlation and capacity of the MIMO wireless channels.
基于多入多出(MIMO)散射无线信道模型,提出一种动态MIMO散射无线信道模型,分析散射体及其收发多天线的运动对MIMO无线信道空域相关性及其容量的影响,得出这种影响是由收发天线的初始位置、运动速度及其传播环境决定的。
3) binary joint transform correlator
二值化联合变换相关器
1.
A new binary joint transform correlator algorithm is presented which uses the discrete cosine transform technique to process the joint transform power spectrum.
利用这种二值化联合变换相关器 ,进行了一个待识别指纹同四个参考指纹的比较。
4) Nonlinear correlation
非线性相关
1.
On the base of MV hedge ratio, this paper put forward the principle of future return and spot return matching, using nonlinear correlation parameter replace the linear one to improve the hedge ratio.
在最小方差套期保值模型的基础上,提出了最小方差套期保值的期货与现货波动非线性对冲原理,利用非线性相关系数代替传统的线性相关系数,提高了套期保值比率的准确性。
2.
Result shows that the method is effective to discriminate linear and nonlinear correlation characteristics in a comparatively long data series,and suitable for analysis of complex ocean data.
结果表明 ,在数据资料较长时 ,该方法能有效判定数据序列的线性、非线性相关特征 ,特别适合于复杂的海洋数据资料分析。
3.
To study the linear correlation coefficient and nonlinear correlation coefficient in statistics and find general character.
讨论统计学中的线性相关系数和非线性相关系数,寻找其共性。
5) non-linear correlation
非线性相关
1.
【Objective】 The study was to overcome the problem of linear correlation and information loss,and provide a new way of non-linear correlation analysis in different traits for breeding operator.
【目的】克服以往的相关性指标所存在的线性相关性和信息损失的问题,为实际育种工作提供一种新的多性状间的非线性相关分析方法。
6) nonlinear dependence
非线性相关
1.
Although the data exhibit no significantly linear autocorrelation,substantial evidence indicates the presence of nonlinear dependence.
表明证券市场收益序列尽管线性自相关现象不显著,却存在着明显的非线性相关关系。
2.
This method is designed for testing nonlinear dependence between time series,and can be used in economic analysis and economic forecasting.
首先说明利用非线性动态系统的多维观测数据和一维观测数据对系统分数维数进行估计的一致性，然后基于这一思想，给出了一种推断两列观测数据是否来自同一非线性动态系统的方法，并引入了非线性相关度的概念，以度量两列数据的非线性相关程度。
补充资料：非线性相关
如果两种相关现象之间并不表现为直线的关系，而是近似于某种曲线方程的关系，则这种相关关系称为非线性相关。
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