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对矩阵A约化为双对角线矩阵,然后计算出奇异值完成奇异分解。
-Of the matrix A reduces to two-diagonal matrix, and then calculate the complete singular value decomposition singular.
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本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。-This paper presents an original video in the DCT (Discrete Cosine
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自己编写的基于奇异值分解的MVDR方法进行信号频率估计的Matlab代码。
-Matlab code of the MVDR method of frequency estimation based on singular value decomposition.
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) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。-) The use of sub-blocks of principal component analys
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The system capacity is defined as the maximum possible transmission rate such that the
probability of error is arbitrarily small.
Initially, we assume that the channel matrix is not known at the transmitter, while it is
perfectly known at the r
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一种基于奇异值分解的数字水印技术,这是一篇很经典的文章,再此文章之后,基于svd的水印技术大量出现-a digital watermarking technologybased on Singular value decomposition , which is a classic article, and then, after this article, the watermarking technique based on large numbers of svd
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The geometrical attacks are still a problem for
many digital watermarking algorithms at present. In this paper, we propose a watermarking algorithm for color images resistant to geometrical distortions (rotation and scaling). The singular value dec
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自己编写的采用奇异值分解的地震数据去噪研究,内有详细的解释-I have written using singular value decomposition of seismic data denoising, with detailed explanations
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matlab实现:高斯消元法,LU分解法,迭代法,奇异值分解,乔累斯基分解法,gauss迭代解线性方程组,jacobi迭代解线性方程组-matlab implementation: Gauss elimination, LU decomposition, iterative methods, singular value decomposition, Cholesky decomposition, gauss iterative solution of linear equations, jac
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lms算法的实现 计算了剩余均方误差和失调参数-MVDR based on singular value decomposition method of frequency estimation of the simulation
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SVD算法可用来求解大多数的线性最小二乘法问题.对矩阵进行奇异值分解。-SVD algorithm is used to solve most of the linear least squares problem. Of the matrix singular value decomposition.
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利用奇异值分解(SUV)对图像信号分行降噪!-Singular value decomposition (SUV) of the image signal branch noise!
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matlab中关于矩阵的分解,行列式,逆。矩阵的特征值,矩阵函数,奇异值分解,最小二乘法,函数的导数以及偏倒数,梯度,切平面以及积分与卷积等的原理,以及具体程序编写的例子-matlab on Matrices, determinant, inverse. Eigenvalues, matrix functions, singular value decomposition, least squares, and the partial derivative of the function inv
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An adaptive audio watermarking based on the singular value
decomposition in the wavelet domain
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其后分析中常用的奇异值分解(SVD)方法的fortran程序。-Commonly used in the subsequent analysis of the singular value decomposition (SVD) method fortran program.
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Abstract- H.264/AVC is becoming a popular video codec for
its better compression ratio, lower distortion and applicability
to portable electronic devices. Thus, issues of copyright
protection appropriate for this standard become very
importan
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Singular value decomposition.
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CONVOLVE2可以用于任何CONV2使用,采取同样的参数并返回一个小的公差范围内同样结果。加速计算是通过使用面膜中的奇异值分解,表示为外产品总结一下。这些都可以有效地计算与行和列向量的卷积。 CONV2是用来从事这项运动。
可分面具是一个特殊情况,并受CONVOLVE2处理多达FILTER2一样。许多不属于其他口罩可分低等级(如Gabor函数口罩),并更有效地处理CONVOLVE2。
该功能也将计算出降秩逼近一个给定的面具如果需要的话,将使用此是否会加速计算。一个额外
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color image watermarking using singular value decomposition
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用奇异值分解法求矩阵广义逆,使用C语言编写。-Singular value decomposition with generalized inverse of a matrix, the use of C language.
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