奇异值

针对图像载体，着重研究了空域（奇异值分解）和变换域（DCT）基于系数关系的的半脆弱数字水印技术，在此运用大量试验和评价参数分析算法有效性，从而有效抵抗恶意篡改。

With the image carrier , focused on airspace ( SVD ) and transform domain ( DCT ) coefficients based on the relationship between the semi-fragile digital watermarking technologies .

基于混沌和奇异值分解的双层水印方法

Double - Level Watermarking Algorithm Based on Chaos and SVD

基于奇异值正交分解ECG信号的重建

The Reconstruction of ECG on SVD

基于奇异值分解和免疫克隆BP网络的隧道围岩变形位移的前推修正模型

Model of deducing onwards and revising displacement of tunnel surrounding rock based on singular value decomposition and immune clone BP network

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 .

将奇异值作为改进的BP神经网络的输入对神经网络进行训练和故障识别。

The improved BP neural network was trained with singular value as the ideal input and codes of fault states as the ideal output .

奇异值分解（SVD）理论在同步电机参数辨识中的应用

The SVD Applied to the Identification of the Basic Parameters of Synchronous Machine

关于加权奇异值分解与QR分解的渐近表达式的证明

A Proof on the Asymptotic Behavior of Scaled Singular Value and QR Decompositions

进而，以静止图像作为研究对象，重点研究了小波变换域采用奇异值分解（singularvaluedecomposition，SVD）的数字水印技术。

Adopting still images as research objects , the thesis focuses on wavelet transform domain singular value decomposition ( SVD ) - based image watermarking techniques .

采用奇异值分解方法计算Jacobian矩阵的广义逆；

A generalized inverse matrix of the Jacobian matrix was calculated using SVD method ;

基于KL投影和奇异值分解相融合的人脸识别方法的研究

Research on Based on Singular Value Decomposition and KL Projection Fusion Decision

Hong阐明了图像矩阵奇异值具有很多优良特性，也得出了图像矩阵奇异值具有旋转不变性这一结论。

Hong ' article gives many excellent characteristics of the singular values extracted from an image matrix , and reaches the conclusion that the singular values are invariant to rotation .

并行LanczosSVD（奇异值分解）计算

Parallel Lanczos SVD ( Singular Value Decomposition ) solver

奇异值分解（SVD）及其在时间序列分析中的应用&算法与问题研究

Singular value decomposition ( svd ) and its applications in time series analysis & algorithms and problems study

根据文献[1]，本介绍利用矩阵奇异值分解（SVD）的多变量系统稳定性判定的程序算法，并以实例说明这种方法的特点和应用。

According to reference [ 1 ] , this paper presents the algorithm and programme of the multi -

提出以道路图像矩阵的局部奇异值向量作为特征输入，以BP神经网络作为分类器的道路导航方法。

This paper presents a method for road navigation , which takes local singular value vectors of image matrix as the feature input and a BP neural network as the classifier .

该方法通过奇异值（SVD）分解，根据归一化奇异值得到多项式的有效阶。

The effective order can be acquired according to normalized singular value after singular value decomposition ( SVD ) .

从分解的多尺度特征出发，提出了基于IMF奇异值分解的虹膜识别方法，降低了编码长度。

From the multi-scale characteristics of decomposition , the iris recognition method based on IMF is proposed in order to reduce the length of the encoding .

研究一种重要的基于状态空间的系统结构奇异值μ分析方法，克服了标准H∞鲁棒控制对于结构不确定性系统分析的保守性。

The system structured singular value μ analysis method on the base of the state space is studied to solve the conservative of the standard H ∞ robust control to the structured uncertainty system .

提出了一种利用潮流Jacobian矩阵的最小奇异值δmin选择无功补偿节点的方法。

A method to determine reactive-load compensation nodes by the minimum singular value δ _ ( min ) in Jacobian load current matrix is proposed .

这种新方法通过信号子空间的奇异值和奇异向量得到CDMA系统的线性最小均方误差（MMSE）多用户检测器。

The proposed detector uses singular values and singular vectors of the signal subspace in a linear MMSE multiuser detector for the DS CDMA system .

介绍了Zernike拟合的Gram-Schmidt以及奇异值分解两种方法；

Gram-Schmidt method for Zernike polynomials fit and singular value decomposition ( SVD ) are concerned .

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 .

为此本文采用了一种基于奇异值分解（SVD）的机织物瑕疵检测算法。

We propose a woven fabric defect detection algorithms which based on singular value decomposition ( SVD ) of woven fabric defect detection .

计算部分奇异值分解的隐式重新启动的双对角化Lanczos方法和精化的双对角化Lanczos方法

Implicitly restarting the Lanczos method and the refined Lanczos method for computing a partial singular value decomposition

该方法利用Gaussian窗函数的滤波特性，通过选择合适的Gaussian窗函数幂次，来达到降低敏感场矩阵的小奇异值对重建结果造成不稳定的效果，从而获得较好的图像重建结果。

The system uses spectral filtering with the proper power of the spectral filter based on the Gaussian window function , measurement error instabilities and the small singular values of the sensitivity matrix .

关于正交基法，文中给出了基于奇异值分解的和基于QR分解的两种实现方式。

For orthogonal basis method , two strategies for realization , which are respectively termed SVD-based scheme and QRD-based scheme , have been presented .

利用奇异值分解方法和求解Lyapunov方程，在一定条件下给出了使不确定广义系统正则、无脉冲且稳定的一个稳定界。

By using singular factorization and solving Lyapunov equation , a robust stable boundary is given such that the uncertain singular system under consideration is regular , impulsive free and stable .

运用BP网络进行识别，提出了一种基于奇异值特征的神经网络人脸识别新方法。

A new approach for face recognition on singular value features and neural networks is presented , in which singular values of face image matrix are used as features , and Back-Propagation ( BP ) network as recognition .

针对Zernike拟合时的藕合与混淆，采用先用齐次坐标变换去除刚体位移，再用奇异值分解进行Zernike拟合。

To solve-the coupling and mixture of Zernike polynomials fit method , rigid-body displacement is removed with coordinate transformation and then fitted with Zernike polynomials .