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This PDF documet bescribes implementation of Singular Value Decomposition with application to Least square problem.
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fortran code for Singular value decomposition
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一般性的奇异值分解算法，float浮点型。-SGGSVD computes the generalized singular value decomposition (GSVD)
* of an M-by-N real matrix A and P-by-N real matrix B:
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* U*A*Q = D1*( 0 R ), V*B*Q = D2*( 0 R )
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* where U, V and Q are orthogonal matric
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使用奇异值分解来帮助求解最小二乘问题，特别是在方程系数矩阵不满秩的情况下。-SGELSD computes the minimum-norm solution to a real linear least
* squares problem:
* minimize 2-norm(| b- A*x |)
* using the singular value decomposition (SVD) of A. A is an M-by-N
* matrix which
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实矩阵奇异值分解，可控制技术精度，被其他程序调用的子程序。-Real matrix singular value decomposition, can control the precision,be used by other programs called subroutines.
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1、随机生成一个5*5矩阵A，元素符合均匀分布；再随机生成一个5*5矩阵B，元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算，查看运算结果。
2、创建5阶魔术矩阵，求A的行列式、特征值、逆、秩、迹、条件数。
3、假设矩阵 ，求A的LU分解、正交分解、特征值分解、奇异值分解。
4、创建6阶单位稀疏矩阵，并显示其全部元素。
-1, randomly generated a 5* 5 matrix A, elements in line with uniform
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1.对一个256*256的图像进行DCT变换得到图像D，将D得斜下角数值置为零，然后进行DCT反变换.
2.对源图像进行K-L转换
1和2比较-1.Get a grey level image which size is N*N. (For example, 256*256, however,
N = ), and partition to 8*8 sub images.
2.. Apply DCT to these sub images, and get the transfo
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矩阵的奇异值分解，ap为是矩阵a，up返回左奇异值，vp返回右奇异值-Matrix singular value decomposition, ap is the matrix for a, up to return the left singular value, vp return the right singular value
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本程序可以实现对图像用Matlab进行奇异值分解-This program enables the images to use Matlab the singular value decomposition
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本程序可以实现对图像用Matlab进行奇异值分解-This program enables the images to use Matlab the singular value decomposition
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基于奇异值分解的图像压缩。分别给出了灰度及RGB真彩图的压缩代码。
-Based on singular value decomposition of the image compression. Are given respectively grayscale and RGB true color pictures of the compression code.
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徐士良版常用算法程序集中有关奇异值算法的手写程序。-XU Shi-liang common algorithms for a centralized version of the singular value decomposition of the handwriting process.
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A Matlab function that performs sparse singular value decomposition faster than the build in svds function.
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Matrix Analysis, Linear Algrera, Computational matrix, singular value decomposition
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All three, Discrete Wavelet Transform (DWT) - Singular
Value Decomposition (SVD) and Adaptive Tabu Search
(ATS) have been used as mathematical tools for embedding
data into an audio signal. In this paper, we present a new
robust audio waterma
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Singular Value Decomposition in C-Singular Value Decomposition in C
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用于描述26个英文字母在奇异值分解后的空间平面的分布-the English texts are mapped into frequency matrixes of order 26 and the dimensions of texts representation space are reduced through Singular Value Decomposition. Second, it fuses the features of the
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OFDM系统中基于奇异值分解降秩的MMSE信道估计算法，非常经典-OFDM channel estimation by singular value decomposition.pdf
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基于奇异值分解的数字图像的特征提取
很好的的效果进行提取-Based on singular value decomposition of digital image feature extractionThe effect is very good
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Descr iption
Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminac
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