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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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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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实矩阵的奇异值分解。使用c语言编写完成。-Real matrix singular value decomposition. Done using the c language.
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图像恢复 奇异值分解及截断奇异值分解的相关方法 外文文献-Image restoration and the truncated singular value decomposition singular value decomposition method of foreign language literature related to
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singular value decomposition
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在matlab环境下对图片进行压缩,使用算法为矩阵的奇异值分解-Matlab environment in the picture compression algorithm using singular value decomposition of the matrix
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奇异值分解-Singular Value Decomposition .....................
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Image Compression using Singular Value Decomposition
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matlab code that does singular value decomposition of some data set and denoises the data matrix. after denoising, regression is performed
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我们使用MATLAB软件实现了人脸识别并统计其识别率。本实验采用PCA(主成分分析)方法,利用K-L变换和奇异值分解原理实现。并分别采用最近邻法分类器得出它们的成功率。-We use face recognition software and the MATLAB Statistics recognition rate. The present study, PCA (principal component analysis) method, using KL transform and sin
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对一个mat文件中的数据进行滤波后再进行奇异值分解降噪。奇异值降噪方法参考附件中的文献-filtering the data with medfilter and SVD(singular value decomposition)
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