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用VB实现线性方程组的求解。包括：高斯消元法，LU分解法追赶法，迭代法，奇异值分解，乔累斯基分解法等12种数值方法。-VB of linear equations to solve. Including : Gaussian Elimination Act, the law catch up with the LU decomposition, iterative method, singular value decomposition, Joe Cholesky decomposition 1
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The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it
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是一个矩阵的奇异值分解算法的源码包，是在SVDPACKC的基础上进行的封装，典型应用是在LSI算法中用来降维生成一个小的语义空间。-is a matrix of the singular value decomposition algorithm source package is SVDPACKC conducted on the basis of the package, the typical application is in the LSI algorithm used to gene
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通过奇异值分解实现的最小二乘拟合算法
inear least-squares fit by singular value decomposition-through the singular value decomposition of the least squares fitting algorithm inear least-squares fit by singular value decomposition
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1.功能
利用广义逆求解无约束条件下的优化问题(C语言)
2.参数说明
int m : 非线性方程组中方程个数
int n : 非线性方程组中未知数个数
double eps1 : 控制最小二乘解的精度要求
double eps2 : 用于奇异值分解中的控制精度要求
double x[n] : 存放非线性方程组解的初始近似值X(0),要求各分量不全为0
int ka : Ka＝max{m,n}+1
void (*f)() : 指向计算非线性方程组中各方程
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基于奇异值分解的核线性判别分析（Kernel Discriminant Analysis via QR Decomposition）。
-based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
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当计算混沌系统Lyapunov指数时，gs.m代码实现正交化
直接运行L2.m，可计算出Lyapunov指数（该代码是基于奇异值分解计算Lyapunov指数的）
-chaotic system when calculating Lyapunov exponent, gs.m code directly Orthogonalization L2.m operation, translate into Lyapunov exponent (The code is based on the
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利用奇异值分解-总体最小二乘法估计ARMA模型的AR参数,并利用参数进行谐波恢复仿真程序,The use of singular value decomposition- total least squares estimation of AR parameters of ARMA model and using the parameters of harmonic retrieval simulation program
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基于GM算法和QR分解实现的稳健奇异值分解算法，通过该算法可以获取一个数居阵的稳健方差－协方差阵。在该稳健方差－协方差阵上可以进行诸如，稳健主成份分解、稳健聚类、稳健因子分析等操作。-GM based on QR decomposition algorithm and the realization of the stability of singular value decomposition algorithm, the algorithm can be accessed through a
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Singular value decomposition - method for calculating singular matrices-Singular value decomposition- method for calculating singular matrices
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利用svd的一种水印方法。SVD即奇异值分解(Singular Value Decomposition)算法。
-A watermarking method using svd. Singular value decomposition SVD that (Singular Value Decomposition) algorithm.
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该程序是主要描述的是矩阵运算，包括矩阵的基本运算，矩阵的求逆，矩阵的奇异值分解，以及特征值以及特征向量的求解等等。-The program is the main descr iption of the matrix operations, including the basic matrix operations, matrix inverse, matrix singular value decomposition, and the characteristic value and char
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奇异值分解用于英文文本检索，画出频率矩阵第一奇异值向量和第二奇异值向量的分布图- a fast retrieval algorithm for English texts is proposed. First of all, the English texts are mapped into frequency matrixes of order 26 and the dimensions of texts representation space are reduced through Sin
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一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。-Image Compression
A collection of simple routines
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基于子空间的盲信道估计算法，用的是奇异值的分解Subspace-based blind channel estimation algorithm, using a singular value decomposition -Subspace-based blind channel estimation algorithm, using a singular value decomposition
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奇异值分解，线性代数中一种重要的矩阵分解，是矩阵分析中正规矩阵酉对角化的推广。在信号处理、统计学等领域有重要应用。 -Singular Value Decomposition (SVD)
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singular value decomposition
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类似于小波变换，使用奇异值分解理论检测信号的奇异点。-Similar to the wavelet transform, using the singular value decomposition theory of singularity detection signal.
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奇异值分解matlab源代码，用于处理EEG信号进行奇异值分解-Singular Value Decomposition matlab source code for processing EEG signal singular value decomposition
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Implementation of singular value decomposition
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