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- Sigular Value Decomposition (SVD) 奇异值分解
- sigular value decomposition 奇异值分解
- The camera intrinsic matrix with five parameters is obtained through eigen value decomposition of the infinite homography matrix. 通过对无穷远单应性矩阵的特征分解，计算5参数摄像机内参数阵。
- Numerical method is presented by using singular value decomposition and an example is given. 应用奇异值分解，给出了结构模型修正的数值方法，并进行了数值实验。
- By applying the multiple quotient singular value decomposition QQQQQ-SVD, We prove a conjecture appeared in SIAM J. 我们通过使用六个矩阵的广义奇异值分解QQQQQ-SVD，证明了1998年发表在SIAM J.
- The traditional procedure of conic fitting utilizes the standard Eigen Value Decomposition (EVD) algorithm. 传统的二次曲线拟合使用标准特征值分析算法。
- The problem of image matching and target tracking based on singular value decomposition (SVD) was discussed. 摘要 研究了基于奇异值分解的图像匹配和目标跟踪问题。
- This paper presents a public watermarking algorithm combining single value decomposition (SVD) with neural network. 摘要提出了一种结合奇异值分解和神经网络的公开水印算法。
- Low-rank estimation used the frequency correlation of the channel and singular value decomposition method. 低秩估计方法利用信道的频域(/时域)关性以及奇异值分解技术。
- 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。
- Due to its ability to calculate the extremum，the semi singular value decomposition will be more useful in many applications. 因为该算法有求极值的能力，所以它将在应用领域中发挥更大的作用。
- In this paper, a kind of mono-lead FECG based on PC is introduced, which extracts FECG by way of singular value decomposition. 介绍了一种单导胎儿心电记录仪。系统以PC机为核心,采用奇异值分解方法提取胎儿心电信号。
- By decomposing a matrix into one diagonalizable matrix and two orthogonal matrixes，singular value decomposition has very good properties. 摘要 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。
- Theoretically, canonical truncated singular value decomposition (TSVD) is considered a good regularization method in solving ill-posed problems. 摘要典则TSVD方法是求解线性不适定问题的一种很好的正则化方法。
- First, for the input matrix, the method adopts Jacobi singular value decomposition to get the singular value vector as the speech enhancement filter. 该方法首先对输入矩阵进行雅克比奇异值分解，用得到的奇异值矢量构造语音增强滤波器；
- Thirdly, some eigenvectors are extracted for training and predicting face images by casting singular value decomposition (SVD) on face data. 第三,对人脸区域数据进行奇异值分解,选取若干特征向量用来训练及判别。
- The GGE data is then subjected to singular value decomposition and is approximated by the first two principal components. 对GGE作单值分解，并以第一和第二主成分近似之。
- Multidimensional correlated variables were converted into low dimensional independent main-eigenvector by means of singularity value decomposition. 奇异值分解可以将高维相关变量压缩为低维独立的主特征矢量,而支持向量机可以完成模式识别和非线性回归。
- How to extract the characters of images of faces was an important problem, which was solved by Singular Value Decomposition (SVD) in this paper. 对于人脸图像的特征提取一直是人脸识别中重要的问题，本文中应用奇异值分解（SVD）方法进行人脸的特征提取。
- The arithmetic is realized by structuring a semantic matrix and making a singular value decomposition (SVD) for eliminating noise. 主要是通过构造一个语义矩阵，进行奇异值分解消除“噪音”进行实现的。
