分析方法包括趋势分析、主分量分析。
The analysis method includes linear regression and principle component analysis.
本文提出用主分量分析作为一种RQ式方法。
This paper proposes the use of principal components analysis as a RQ-mode procedure.
此方法还可以引申到主分量分析（PCA）。
The method can also be extended to Primcipal Component Analysis (PCA).
主分量分析技术通常用于数据压缩和统计特征的提取。
Principal component analysis (PCA) is used in data compressing and statistical features extracting.
提出了一种基于主分量分析的遥测信号噪声消除方法。
A new de-noising method for telemetry signal based on Principal Component Analysis (PCA) was proposed.
提出了一种基于主分量分析和属性距离和的孤立点检测算法。
An outlier detection algorithm based on principal component analysis and the sum of attributes distance is proposed.
本文用主分量分析法建立了雷云等强对流天气的综合判别式。
This paper presents a comprehensive recognition formula of hailstorm cloud by using principal component analysis.
该文提出一种基于主分量分析(pca)的SAR图像变化检测算法。
This paper presents an algorithm about SAR image change detection based on Principal Component Analysis (PCA).
在定量处理方法中讨论了统计学方法、逆运算方法和主分量分析方法。
Dynamic and static mapping techniques are introduced here as the qualitative methods while statistical methods, inverse calculation and principle component analysis are introduced a.
本文应用主分量分析法建立一个综合评价水污染控制工程的数学模型。
This paper, by using the principal component analysis method, establishes a mathematical model for overall evaluating the water pollution control engineering.
用系统聚类和主分量分析方法，对困难程度进行分区，共分出5个区。
Systematic clustering method and PCA are used to divide area. 36 counties are divided into 5 areas.
根据这些因子进行主分量分析，研究监测区域样地的分布及异常样地的探测。
The distribution of sample plots and the detection of abnormal sample plots in monitoring area are studied by means of principal component analysis according to these factors.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
在图像主分量分析的基础上，提出了一种基于图像矩阵变换的主分量分析方法。
A new image feature extraction method based on changing image matrices and image principal component analysis (CIMPCA) is proposed in this paper.
传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。
Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.
针对左矩阵分式模型的特点，给出了一种通过主分量分析(PCA)建立稳定图的方法。
Considering the feature of left matrix fraction description, this article presents a construction method of the stabilization diagram by principal component analysis (PCA).
在此基础上，提出了更好的满足这些性能的小指数点积核函数，并将应用到主分量分析中。
Base on these, we propose a kernel function include fractional inner-product model which is better fulfill these properties, and apply it to kernel principle component analysis.
利用主分量分析和K -均值聚类分析的方法，对我国东部夏季雨带进行客观的气候分类。
Utilizing the principal component and K-mean cluster analysis, the summer rain belts in eastern China have been classified.
首先利用主分量分析法和人脸重心确定人脸对称轴，再结合山谷法进行眼睛候选点的提取和验证。
The principle component analysis and face bray center are used to detect the symmetry axis, and the valley method is applied to detect and verify the eye candidates.
基于主分量分析的混合像元分解算法是一种较为成熟的算法，但它存在着计算量大，适应性差等缺点。
Mixed image cells decomposition algorithm based on principle component analysis is a widely used algorithm, but the large computation amount and less flexibility are its main drawbacks.
其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。
Here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication.
主分量分析得到的前三个主分量的累计方差贡献率为35.7%，第一主分量的方差贡献率为20.22%。
The accumulative variance contribution of the first three principal components was 35.7%. The first principal component encompassed only 20.22% of the total variation.
介绍了主分量分析法的原理和步骤，由此构成的新矢量，降低了输入矢量的维数，提高了变量间的不相关性。
Comparing new input vector constructed by this method with that constructed directly, the dimension of input vector is decreased and capacity of orthogonal among the variables is enhanced.
结合经验模态分解和主分量分析各自的优点，提出了一种基于EMD -PCA的轴承故障源的盲分离方法。
Combined the advantage of empirical mode decomposition (EMD) and principle component analysis (PCA), a blind separation method of rolling bearing faults is proposed based on EMD and PCA.
其中在定性方法中介绍了静态和动态标测法，在定量方法中则介绍了统计学方法、逆运算方法和主分量分析方法。
Dynamic and static mapping techniques are introduced as the qualitative methods. Statistical methods, inverse calculation and principle component analysis are introduced as the quantitative methods.
本文提出了一种基于主分量分析法和反向传播神经网络的图像识别方法，并详细阐述了这种方法的具体实现过程。
Dynamic and static mapping techniques are introduced here as the qualitative methods while statistical methods, inverse calculation and principle component analysis are introduced a.
同时对所采集的车辆声音信号应用模式识别中的主分量分析法实现了车辆的简单分类，为实现车型识别作了一些初步的探索。
At the same time, vehicle types are classified using PCA method of the pattern recognition based on vehicle noise, and some primarily study is done for vehicle recognition.
在ORL人脸库上的实验结果表明，该方法在不提高主分量分析复杂度的情况下，采用较少的特征值提高了单训练样本的识别率。
Simulation results on ORL face databases indicate that the proposed approach (ESWPCA) can achieve higher recognition accuracy with fewer singular values but without the increase of …
通过对图像在每个像素的邻域的基础上进行主分量分析，产生每个图像像素的特征向量，再用PCNN对得到的特征图像进行点火分割。
It presents principal component analysis on image based on neighborhood unions of per-pixel to obtain the eigenvector of per-pixel, then USES PCNN to set on fire to segment image with feature image.
用25个退化喀斯特森林样地作为研究对象，采用主分量分析方法，把25个样地划分成11个森林类型，并对各类型的分布及特征进行阐述。
The 25 plots of degraded karst forests were chosen as the research objects and 25 plots were divided into 11 forest types by principal component analysis (PCA).
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