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C环境下实现矩阵的奇异值分解，实际验证之后证明效果不错-Singular value decomposition of the matrix C environment, proof of good results after the actual verification
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用于求解矩阵广义逆的，求解矩阵奇异值分解程序。-For solving matrix generalized inverse, solving matrix singular value decomposition procedure.
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A SIMPLE PROGRAM TO SOLVE A LINEAR SYSTEM AX=B BY THE SINGULAR VALUE DECOMPOSITION METHOD
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数字图像处理 基于奇异值分解的图像压缩 根据图像矩阵的奇异值分解 选择图像中的主要信息部分进行压缩编码-Digital image processing based on singular value decomposition image compression based on singular value decomposition of the image matrix is the main part in the select image compress
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matlab运行环境下，奇异值分解软件包利用的是LR迭代方法-the matlab runtime environment, singular value decomposition package to take advantage of the LR iteration method
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jacobi奇异值分解，matlab 用于利用矩阵填充和矩阵回复解决图像处理问题-the jacobi singular value decomposition
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是一个传统的奇异值分解来处理单道ICA的问题的程序代码，希望有帮助。-A traditional Singular Value Decomposition to deal with the problem of single-channel ICA program code, and want to help.
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奇异值分解算法，别的地方下载下来后尚未测试-Singular value decomposition algorithm
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矩阵的奇异值分解，文件里面有详细的调用说明-The singular value decomposition of the matrix, the file there is a detailed descr iption of the call. . .
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奇异值分解等方法对噪声进行去噪，算法简单，清晰易懂-Singular value decomposition method to noise denoising algorithm is simple, clear and easy to understand
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SVDLIBC是一个使用Lanczos算法计算稀疏矩阵SVD(奇异值分解)的C语言函数库，原本在只能Linux下编译，这个版本是对其进行修改后的windows版本，可以在VC++或MinGW下使用。-SVDLIBC is a C library computing the SVD(Singular Value Decomposition) of a sparse matrix using the Lanczos Algorithm. Originally, it can only compile
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提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特
征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景
信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识
别, 结果与实际情况相符。-Signal implicit characteristic of phase space reconstruction, and th
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心电信号奇异值分解，用于从腹壁信号中分离出母体心电参考信号-ECG singular value decomposition
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fortran语言编写的矩阵奇异值分解子程序源代码，可用于反演计算-fortran language matrix singular value decomposition subroutine source code
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输入矩阵X和维数d进行SVD分解，使得Xhat = U*S*V 是X的所有秩为d的近似中最好的一个- Accelerated singular value decomposition.Xhat = U*S*V is the best approximation (with respect to F norm) of X among all the matrices with rank no larger than ReducedDim.
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利用奇异值分解（SVD）实现图像压缩。代码运行过程中可以动态展示奇异值个数的选取对SVD压缩效果的影响。-Image compression using singular value decomposition (SVD). Code running can dynamically show the impact of the selection of the number of singular values of the SVD compression.
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MATLAB程序；图像的小波系数提取，然后进行奇异值分解，得到图像的特征系数。-MATLAB program wavelet coefficients of the image extraction, and singular value decomposition, image feature coefficients.
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Simple matrix algebra C++ library.
Implements such a useful tools like a:
- Linear equation solving via QT decomposition
- Singular value decomposition
- Karhunen-Loeve transform
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This matlab code is intended to demonstrate the physical significance/interpretation of the elements of diagonal matrix in Singular Value Decomposition (SVD).
Here, multiple rows of a BIG matrix is gradually being filled with ones which means t
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是图像处理中奇异值分解的代码，对图像处理很有用。-Is the singular value decomposition of the image processing code, useful for image processing.
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