奇异值分解

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FPGA的高光谱图像奇异值分解降维技术

FPGA Implement of SVD for Dimensionality Reduction in Hyperspectral Images

用奇异值分解求解的PI型有约束广义预测控制算法

The Pi-Type Constrained Predictive Control Algorithm with Singular Value Decomposition

一类基于奇异值分解的Lyapunov指数计算方法

A method based on singular value decomposition for computation of Lyapunov exponent

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 .

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

矩阵奇异值分解和Arnold置乱技术在图像隐藏中的应用

The technique of matrix singular value and Arnold transform applying to digital image hiding

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 ;

本文首先针对MIMO-OFDM系统的自适应调制技术进行研究。利用奇异值分解把MIMO-OFDM信道转化成一系列并行的子信道，然后将这些子信道按照信道增益从大到小的顺序排列。

In this paper , the adaptive modulation techniques for MIMO-OFDM systems are first studied .

除此之外，还讨论了基于信道分解的预编码算法，包括SVD（singularvaluedecomposition，奇异值分解）算法。

In addition , we also discuss the pre-coding algorithm which is based on channel decomposition . It includes SVD ( Singular Value Decomposition ) pre-coding algorithm .

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

系统由一个基于奇异值分解（singularvaluedecomposition）的计算算法支持，该算法主要用于搜索聊天室中的聊天者群组和隐藏的通信模式。

The system is supported by a computational algorithm based on Singular Value Decomposition ( SVD ) for the discovery of groups of chatters and hidden communication patterns within the chatrooms .

并行LanczosSVD（奇异值分解）计算

Parallel Lanczos SVD ( Singular Value Decomposition ) solver

本文从Maxwell原理出发，利用平衡矩阵的奇异值分解法来分析张拉整体结构的力学特性。

According to Maxwell principle , the mechanical characteristics could be analyzed with the SVD methods for balanced matrix .

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 -

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 .

奇异值分解（SVD）在多体系统动力学中的应用&对R/W体系的补充

Application of Singular Value Decomposition for Analysis of Multibody Mechanical Systems Dynamics & A Complement for R / W Formulation

传统DOA估计算法和现有非圆信号DOA估计算法都需要特征值分解或奇异值分解，计算量较大。

The tradition DOA algorithms and DOA algorithms of noncircular signals need eigenvalue or singular value decomposition , there are large amount of calculation .

结合Arnold置乱技术，提出了基于奇异值分解的三维彩码零水印算法。

Combining with Arnold scrambling technology , this thesis proposes a zero watermark algorithm based on SVD for color code image .

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 .

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 algorithm based on singular value decomposition ( SVD ) is proposed , which hides secret information in singular value vector .

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 .

奇异值分解（SVD）是线性代数中一种重要的矩阵分解技术，一种对数据进行降维处理的方法。

Singular value decomposition ( SVD ) is a very important matrix decomposition technique , and a dimension reduction method in linear algebra .

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