将奇异值分解同自然正交分解相结合，提出一种改进的正交奇异值分解方法。
An improved SVD method was introduced by combining empirical orthogonal function (EOF) with singular value decomposition (SVD).
并利用奇异值分解方法和模矩阵的性质，给出了使不确定广义系统鲁棒稳定的一个鲁棒界。
A robust stability boundary of uncertain singular systems is proposed by utilizing singular value decomposition and the character of mode matrix.
本文还就经验正交展开和奇异值分解方法在卫星高度计海面风、浪资料分析中的应用作了初步探时。
In this paper, also the primary applications of EOF and SVD in analyzing satellite altimeter data of sea surface wind and wave is studied.
同时为了进一步降低存局部潜在语义分类的存储空间的开销，采用半离散分解方法替代奇异值分解方法。
Meanwhile to reduce the cost of memory space, this paper takes the Semi-Discrete Decomposition Method rather than the Singular Value Decomposition.
首先基于差分图像和肤色信息检测出人脸，其次使用改进的奇异值分解方法提取面部特征，最后运用最小距离分类器进行识别。
First based on the difference image and the skin color the face is detected and localized, then features are extracted by using improved SVD, last the features is classified by minimal distance.
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.
采用阻尼最小二乘法与奇异值分解的方法来求解失调量。
By means of the damp least square method and singular value decomposition method, the misalignment of optical system could be calculated.
在精密机械热动态过程的离散化模型基础上，提出一种识别精密机械热动态特性参数的新方法——奇异值分解算法。
The discrete model of the thermal dynamics process of precision machine was used to establish a new method called singular value decomposition algorithm for identifying these characteristics.
提出了基于小波包变换和改进奇异值分解的高分辨雷达目标一维距离像特征提取方法。
A feature extraction method of high-range-resolution radar profiles, which takes advantage of wavelet packet transform and modified SVD (singular value decomposition) was proposed.
利用矩阵的奇异值分解和矩阵分块方法，得到了最小二乘解的一般表达式。
By using the method of matrix singular values decomposition, the general expressions of the least squares solutions are given.
利用奇异值分解技术确定了定量度量模态可控程度的方法。
Using the singular value decomposition technique, the method for measuring the modal controllability is determined.
然后用奇异值分解给出了求解最小范数解的一种方法。
Then, a method is presented based on the singular value decomposition to compute the minimal norm solution.
为降低噪声的影响，采用一个基于奇异值分解(SVD)的方法对识别的结构进行处理。
In addition, a method based on singular value decomposition (SVD) was proceed to deal with the obtained result for dropping influence of noise.
提出了一种基于奇异值分解和数据融合的脸像鉴别方法。
A face identification method based on singular value decomposition (SVD) and data fusion is proposed in this paper.
介绍了基于动态系统可观测性矩阵奇异值分解的状态变量可观测度的分析方法。
The method of analyzing the observable degree of the state variable has been introduced by means of the singular value decomposition (SVD) of the observable matrix of a dynamic system.
鉴于此，必须采用正则化方法，本文中选用的是截断奇异值分解，其正则化参数用l -曲线准则来确定。
In this thesis, we choose truncated singular value decomposition to solve the resulting matrix equations, while the regularization parameter of TSVD is determined by the L-curve criterion.
使用谐波分析及奇异值分解(SVD)方法分析比较了北太平洋、热带太平洋区域的海气资料及海气相互作用。
Diagnostic analysis and contrast are performed in air-sea data and their interaction between the North Pacific and the Tropical Pacific by means of harmonic analysis and SVD.
引入了平衡矩阵的奇异值分解（SVD）方法并解释了其力学含义。
The Singular Value Decomposition (SVD) method for the equilibrium matrix is developed and a physical explanation is given.
用基于奇异值分解技术的消噪方法对汽车操纵稳定性试验方法转向轻便性试验数据进行消噪处理。通过仿真数据说明了该方法的有效性。
Based on singular value decomposition technique, the denoising of signals obtained in vehicle handling and stability testing is carried out. The results show the effectiveness of the method.
奇异值分解(SVD)是一种对数据进行降维处理的方法，符号数据分析(SDA)是一种处理海量数据的全新数据分析思路。
Singular Value Decomposition (SVD) is a dimension reduction method, and Symbolic data Analysis (SDA) is a new analytical approach to processing mass data.
本文以对观测数据矩阵直接进行奇异值分解为基础提出了一种正弦检测的新方法。
A new method for sinusoidal detection is presented based on the SVD of the observation data matrix.
在地震波阻抗反演中，其反演矩阵多为接近奇异的大型矩阵，不能用一般方法直接求解，而要用奇异值分解(SVD)方法解方程。
In seismic inversion, the inverse matrix is mostly huge singular, the ordinary methods cannot be directly used to solve the equation, and the SVD technique must be used.
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
第一类方法称为静态方法，主要包括截断奇异值分解(TSVD)方法和截断完全最小二乘(TTLS)方法。
The first class of regular method is named stationary method which include two methods, truncated singular value decomposition (TSVD) method and truncated total least squares (TTLS) method.
首先对图像进行分块，分别提取每块图像的直方图不变矩，组合起来作为数字水印，然后利用奇异值分解的方法将这些水印嵌入到原图像中。
First we go on blocking to image an extract moment invariant of histogram from the blocking image and combine it as the digital watermarking.
对应特征点的三维重建是根据三角测量的方法计算其投影矩阵，然后用奇异值分解求出特征点的三维齐次坐标。
Feature points' 3d coordinates are computed through singular value decomposition of projector matrix, then compute projector matrix by triangulation.
该方法首先对地球物理和地球化学等网格数据进行二维矩阵的奇异值分解，之后用左特征向量矩阵与右特征向量矩阵的直积构造一个正交完备基。
The MSVD method constructs a self-contained orthogonal basis using the outer product of left and right eigenvector matrixes decomposed from 2D geochemical or geophysical maps.
本文给出了基于奇异值分解的方法得到较为精确的计算值。
In this paper, the SVD method for MOM is given to bring the accurate result at the resonance frequency points.
本文给出了基于奇异值分解的方法得到较为精确的计算值。
In this paper, the SVD method for MOM is given to bring the accurate result at the resonance frequency points.
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