介绍了奇异值分解法的原理；
并行LanczosSVD(奇异值分解)计算。
本文使用奇异值分解法求解矩阵方程的最小二乘解。
A least squares solution via singular value decomposition is used to solve the matrix equation.
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.
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.
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.
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.
本文改进了处理动态光谱的奇异值分解最小二乘法（SVDLS）。
The singular value decomposition least squares(SVDLS)method was improved for the various dynamic spectrum analysis.
提出了一种结合奇异值分解（SVD）和DCT变换的零水印算法。
The paper brings forward a kind of hybrid SVD-DCT zero-watermark algorithm.
用奇异值分解界定信号和噪声子空间的困难之处，在于有效秩的确定。
A general difficulty of using singular value decomposition (SVD) to split signal and noise subspaces is in the right choice of effective rank.
利用奇异值分解技术，构造该频带内一组与频率无关的特征模正交基。
The antenna characteristics can be determined rapidly by the frequency independent basis functions.
研制的最小平方共轭梯度算法和奇异值分解法也可进行同样的层析反演。
The least square conjugate gradient and odd values decomposition method also can be used to perform tomographic inversion.
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.
给出了一种基于矩阵奇异值分解(SVD)和奇异值量化的信息隐藏算法。
An algorithm based on singular value decomposition (SVD) is proposed, which hides secret information in singular value vector.
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).
用矩阵的奇异值分解和广义逆讨论标准线性规划问题解的存在性和唯一性问题。
Apply singular value decomposition and generalize inverse of the matrix to discuss the existence and uniqueness of the solution of the standard linear programming problem.
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.
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.
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.
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.
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.
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.
结果表明，在设计矩阵高度共线性时，用奇异值分解的迭代加细可以改进回归系数的估计。
Results show that iterative refinement using the SVD can improve regression coefficient estimates in the cases where the design matrix is highly collinear.
奇异值分解是将一矩阵分解为一个对角矩阵和两个正交矩阵，奇异值分解有着非常好的性质。
By decomposing a matrix into one diagonalizable matrix and two orthogonal matrixes, singular value decomposition has very good properties.
主要介绍了一种典型的信噪比估计算法，并对信噪比的自相关矩阵奇异值分解估计法进行了研究。
This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
通过对图像进行奇异值分解，将一幅图像转换成只包含几个非零值的奇异值矩阵，实现图像压缩。
Digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition (SVD), the image is compressed.
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.
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.
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.
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