Parallel Lanczos SVD (Singular Value Decomposition) solver.
并行LanczosSVD(奇异值分解)计算。
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.
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。
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。
Use singular value decomposition (SVD) in the watermark algorithm may enhance the anti-geometry distortion of the image, but it is very weak to some attacks such as salt, gauss, filter and etc.
在水印算法中用奇异值分解可以提高图像的抗几何失真性，但它对椒盐、高斯、滤波等攻击的抵抗能力却很弱。
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。
In addition, a method based on singular value decomposition (SVD) was proceed to deal with the obtained result for dropping influence of noise.
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。
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。
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 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。
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。
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.
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 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。
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。
Concerning the intellectual property rights of video on Internet, a new digital video watermarking method based on Multi-Dimensional Scaling (MDS) and Singular Value Decomposition (SVD) was proposed.
针对于网络中的视频资源的知识产权问题，提出一种基于多维标度(MDS)和奇异值分解(SVD)的视频水印算法。
The sensitivity matrix was then decomposed by singular value decomposition (SVD) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated.
采用矩阵的奇异值分解原理，对曲面最佳适配的灵敏度矩阵进行分解，得到不确定度参数与测点随机误差的关系表达式。
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 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。
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。
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