Parallel Lanczos SVD (Singular Value Decomposition) solver.
并行LanczosSVD(奇异值分解)计算。
SVD method ensured the algorithm's robustness.
SVD分解保证了算法的鲁棒性。
The paper brings forward a kind of hybrid SVD-DCT zero-watermark algorithm.
提出了一种结合奇异值分解（SVD）和DCT变换的零水印算法。
Singular value decomposition (SVD) has very important applications in image processing.
奇异值分解(SVD)在图像处理中具有极其重要的应用。
A mixed method based on SVD-QR and deformable template is proposed to extract lipreading feature.
提出了SVD—QR和变形模板相结合的混合特征提取算法。
A new method for sinusoidal detection is presented based on the SVD of the observation data matrix.
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。
Using image segmentation, a novel watermarking algorithm based on image segmentation and SVD is proposed.
利用图像分割法，提出了基于图像分割和SVD的数字水印算法。
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踪问题。
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。
Thetrick in using SVD is in figuring out how many dimensions or"concepts" to use when approximating the matrix.
利用SVD的技巧就是去找到用多少维度（概念）去估计这个矩阵。
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鉴别方法。
Finally, on the basis of studying single digital watermarking, proposes a double digital algorithm based on SVD and DWT.
最后，在研究单数字水印的基础上，提出了一种基于SVD和DWT的双数字水印算法。
The 3D small body shape and the state of spacecraft can be estimated by using SVD factorization method at the same time.
根据窄视场相机的特点，用弱透视近似透视投影，并利用因式分解算法重构小天体模型，同时估计探测器的位置、姿态。
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。
Discussing the implementation of the CORDIC-SVD in FPGAs and its applications in the Eigen-subspace method's implementation.
讨论了利用FPGA实现CORDIC - SVD的方法及如何将其应用于特征子空间法的实现中。
An algorithm based on singular value decomposition (SVD) is proposed, which hides secret information in singular value vector.
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 improved SVD method was introduced by combining empirical orthogonal function (EOF) with singular value decomposition (SVD).
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。
This paper puts forward SVD algorithm to realize personal information retrieval, and verifies the effectiveness of the algorithm.
该文提出了基于奇异值分解的个性化信息匹配算法，可以利用用户的特征信息完成个性化的信息匹配。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
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 general difficulty of using singular value decomposition (SVD) to split signal and noise subspaces is in the right choice of effective rank.
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。
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。
Results show that iterative refinement using the SVD can improve regression coefficient estimates in the cases where the design matrix is highly collinear.
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。
After obtaining correct projective depths, we decompose the measurement matrix into camera motion in projective space and projective reconstruction by SVD.
在获得正确的射影深度后，通过奇异值分解将测量矩阵分解为射影空间下的摄像机运动和物体三维几何形状(射影重构)。
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。
The simulation results show that the SVD-based nonlinear filtering algorithm has great interference suppression ability, and improves the performance of the system.
仿真结果表明，基于SVD的非线性滤波算法对干扰有很强的抑制能力，较好地改善了系统的性能。
Comparing with the adaptive denoising algorithm based on compression ratio and SVD, it avoids calculating the function of image compression ratio and its knee point.
该算法的特点是将能量最小法则和奇异值分解结合起来，在代数空间中建立了一种自适应的图像降噪算法。
Using the discrete image degradation model, a block-based SVD filter scheme was applied for the image denoising with an automatically determined singular value rank.
从图像的退化离散模型出发，对图像进行逐层分块奇异值分解，并自动选取奇异值重组阶数以减少噪声对估计的影响。
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.
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.
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。
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