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Moreover, the singular spectra based on higher order statistic is better for reflecting the details about EEG than singular spectra based on two order statistic.

此外，基于高阶统计的奇异谱和基于二阶统计的奇异谱相比更能反映出信号的细节。

The ICA is a kind of signal processing method based on high order statistic, it can recover the source signals from the linearly mixed signals, but it has disadvantages in processing non-linearity signals, and the KICA, which is based on nonlinear function space, can solve the problem effectively. Comparing with current ICA algorithms, the KICA is notable for its flexibility and robustness.

独立分量分析是近几年发展起来的基于信号高阶统计特性的分析方法，它是指从多个源信号的线性混合信号中分离出源信号的技术，但目前的算法在处理非线性变化的信号时还有一定的局限，而基于非线性函数空间的ICA方法－KICA，即核独立成分分析，可以解决这一问题。

When these coefficients are quadratic functions of the porosity, specific constituent orthogonal weighting coefficients are derived from these orthogonal conditions along with a discussion about how to extend the applicable range of the constituent orthogonal weighting coefficients in the orthogonal coordinates. Based on the combination of the theory of critical porosity and the constituent model, it presents a specific example of the constituent model that includes two transforming points. The reasonability of above-mentioned theories is shown by comparison of theoretical calculations and measured data on effective elastic moduli of clean sandstone or sandstone analogs saturated with pure water.

再次，结合弹性模量组分关系方程与正交基函数理论，推导组分加权系数的正交条件；基于正交条件，提出组分加权系数为孔隙度二次多项式时正交组分加权系数的构造方法以及正交组分加权系数适用范围的拓展方法；结合临界孔隙度理论，提出一个基于两个状态分界点的组分模型实例；比较组分模型的计算结果与前人关于砂岩弹性模量的实验结果，证明了组分孔隙介质模型理论的合理性。

Conventionally the electric load forecasting can hardly attain a result whose accuracy meets what's required. A short-term load forecasting model is therefore developed to solve the problem, based on the process neural network of which the input is the function of time and the high forecasting accuracy is available. Describes the structure of the model, discrete data fitting method by the expansion of function orthogonal basis and learning algorithm.

针对目前常用方法在解决负荷预测问题时，结果往往难以达到工程要求精度的现状，利用过程神经网络输入为时间函数以及预测精度高的特点，建立了基于过程神经网络的电力系统短期负荷预测模型；给出了模型的结构，基于函数正交基展开的离散数据拟合方法以及模型的学习算法。

A new circuit-based method for branch loss allocation using the concept of orthogonal projection is presented in this paper.

基于正交投影概念，提出一种新的基于电路理论的支路损耗分摊方法。

A network coding based transmission scheme is proposed for multi-antennas based uplink wireless relay networks. Performance is evaluated from the perspective of ergodic capacity and outage probability, and is compared with ordinary receive diversity scheme and orthogonal space time coding scheme.

针对配置多天线的上行无线中继网络，提出了一种基于网络编码的传输方案，从遍历容量和中断概率的角度对其进行了分析，并与基于同样拓扑的普通接收分集方案和正交空时编码方案进行了性能比较。

Based on analyzing regression analysis, neural network and the least square support vector machines that the three soft computing methods fitting for data fitting, in the paper try to use nonlinear regression analysis, the BP neural network based on Levenberg-Marquardt training algorithm, radial basis function neural network on orthogonal least square training algorithm and least square support vector machines for tracking the position of glass plate.

本文在分析适于数据拟合的回归分析、神经网络、最小二乘支持向量机这三种"软计算"方法的基础上，尝试将非线性回归分析方法，基于Levenberg-Marquardt算法的BP神经网络，基于正交最小二乘训练算法的径向基函数神经网络和最小二乘支持向量机应用于玻璃板位的跟踪中。

The paper introduced the working principle of flatness signal measurement on pneumatic flatness measuring roller, developed a flatness pattern recognition system by virtual instrument LabVIEW, which was made up of polynomial least square method, orthogonal polynomial least square method, fuzzy pattern recognition based on Euclidean distance.

介绍了气动板形检测辊的板形信号检测原理，详细阐述了普通多项式最小二乘法、正交多项式最小二乘法和基于欧氏距离的模糊模式识别法，利用虚拟仪器LabVIEW软件开发了基于上述三种方法的板形模式识别系统。

In this paper, X-ray images of osteoma are discussed. Besides, the segmentation of medicine images and the acquisition of feature, the two crucial techniques about the query by medicine image content, are further studied.

本文对基于医学图像查询的两个关键技术—图像分割和特征提取进行了深入研究，侧重基础理论和方法的探讨，同时做了很多的实验验证、比较和分析；并提出了基于"Web上的医学图像内容检索技术"的实验方法。

The third part of this paper , on the basis of discussing the characteristics of osteoma and its clinic diagnose, combining with relation data model and the newest reseach result based on image content, proposed a frame knowledge representation based on image content.

从第三章开始，在深入分析骨肿瘤及临床诊断特点的基础上，结合关系数据模型和最新的基于图像内容的研究成果，提出了一种基于图像内第四军医大学硕士论文容的框架知识表达方法，将其应用于骨肿瘤的知识表达。

The dynamic variation in content of cndogenous abscisic acid,indoleacetic acid,gibberellinsand isopentenyladenodines of normal juvenilefruit and dropped fruit was measured with enzyme linked immunosorbent assayin the course of physiological fruit drop of 'Shuizhang Longan.

应用酶联免疫法测定了水涨龙眼生理落果期间正常幼果和脱落幼果中内源激素ABA、IAA、GAs及iPAs含量的变化。

Zillions of code examples on the web.

网上数量巨大的代码例程。