片语

Singular value decomposition of双对称矩阵的奇异值分解

matrix singular value decomposition矩阵的奇异值分解

Kernel Singular Value Decomposition核奇异

singular value decomposition expression奇异值分解式

extended singular value decomposition使用扩展奇异值分解

Singular Value Decomposition Method奇异值分解法

generalized singular value decompositionIn linear algebra, the generalized singular value decomposition (GSVD) is the name of two different techniques based on the singular value decompositio The two versions differ because one version decomposes two (or more) matrices (much like higher order PCA) and the other version uses a set of constraints imposed on the left and right singular vector

英汉例句

• 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.

  用矩阵的奇异值分解和广义逆讨论标準线性规划问题解的存在性和唯一性问题。

• this paper introduces a typical snr estimation algorithm by the use of autocorrelation matrix singular value decomposition method.

  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。

• digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition (svd), the image is compressed.

  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。

• in order to solve these problems, a rank-truncated multi-station tdoa localization algorithm based on singular value decomposition was presented.

  为了解决这些问题，提出了一种基于奇异值分解的秩截短多站时差定位算法。

• the problem of image matching and target tracking based on singular value decomposition (svd) was discussed.

  研究了基于奇异值分解的图像匹配和目标跟蹤问题。

• conducting singular value decomposition (svd) of the cross-covariance matrix gives main physical factors relating to forecast fields and isolates a coupled signal from two data fields.

  由预报场与因子场的奇异值分解（svd），可找到影响预报场的主要物理因子，能提取两个场相互作用的主要耦合信号。

• statistical process control (spc), principal component analysis (pca) and singular value decomposition (svd) are introduced to det ermine apc opportunity and then apc structure.

  这一研究对于开发和应用好先进控制技术具有重要的意义。

• singular value decomposition (svd) is a dimension reduction method, and symbolic data analysis (sda) is a new analytical approach to processing mass data.

  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。

• the singular value decomposition (svd) method for the equilibrium matrix is developed and a physical explanation is given.

  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。

• fractal singular value neighbor distance is brought forward based on fractal neighbor distance. fractal coding and local singular value decomposition are used to improve the recognition rate.

  在分形近邻距离的基础上，提出了分形奇异值近邻距离，并把分形编码和局部奇异值分解结合起来，提高了识别率。

• a subspace-based tracking algorithm is proposed for high-resolution doa estimation, using the generalized singular value decomposition (gsvd) of the sample data matrices.

  本文论述了一种基于子空间方法的高分辨doa估计跟蹤问题的解法。

• the singular value decomposition least squares(svdls)method was improved for the various dynamic spectrum analysis.

  本文改进了处理动态光谱的奇异值分解最小二乘法（svdls）。

• a face identification method based on singular value decomposition (svd) and data fusion is proposed in this paper.

  提出了一种基于奇异值分解和数据融合的脸像鑒别方法。

• a robust stability boundary of uncertain singular systems is proposed by utilizing singular value decomposition and the character of mode matrix.

  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。

• 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.

  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。

• then, a method is presented based on the singular value decomposition to compute the minimal norm solution.

  然后用奇异值分解给出了求解最小范数解的一种方法。

• 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.

  鑒于此，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-曲线準则来确定。

• first, perform wavelet transform on the original image and divide the wavelet coefficients into several blocks. second, the singular value decomposition of the blocks is computed.

  该算法首先对原始图像进行小波变换，并将小波系数进行分块，然后对各个分块进行奇异值分解。

• by decomposing a matrix into one diagonalizable matrix and two orthogonal matrixes, singular value decomposition has very good properties.

  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。

• an approach of suppressing the transient interference based on singular value decomposition (svd) is presented in this paper.

  该文提出了基于矩阵奇异值分解的高频雷达瞬态干扰抑制方法。

• to visualize the high dimension ellipsoidal ra approximately, a novel projection approach based on singular value decomposition for high dimension ellipsoidal ra is proposed in multi-machine case.

  在多机系统中，应用奇异值分解方法，提出了高维椭球吸引域的三维投影方法，解决了高维椭球吸引域的直观显示问题。

• feature points' 3d coordinates are computed through singular value decomposition of projector matrix, then compute projector matrix by triangulation.

  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。