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矩阵的转置、行列式、秩,逆矩阵求法,矩阵的三角分解、qr分解,对称正定矩阵的乔里斯基分解及行列式值,奇异值分解,广义逆的奇异值分解,矩阵特征值与特征向量的各种计算方法-all kinds of computational method of transposition of matrix, determinant, rank, inverse of matrix,triangle decomposition, qr decomposition, cholesky decomposition an
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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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利用矩阵的奇异值分解压缩图像,先将图像分块,对各块中的每个对应象素内积得到相关矩阵A,然后对A进行奇异值分解,选择n(n<N)个较大的特征值对应的特征向量,利用该向量与各块图像内积来压缩和恢复图像-matrix of singular value decomposition image compression, image first block of the block of each pixel corresponding to be associated with the plot
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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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图像的奇异值分解,并将图像重构出来,看其效果的变换-image of the singular value decomposition, and image reconstruction, and look at the effect of the change
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LDA/GSVD算法matlab代码,可用来实现基于广义奇异值分解的线性鉴别分析方法-LDA / GSVD algorithm Matlab code, can be used to achieve based on the generalized singular value decomposition of linear discriminant analysis method
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矩阵的奇异值分解算法-A algorithm of matrix singular value decomposition
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Image Compression
A collection of simple routines for image compression using different techniques.
图象压缩的不同方法
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTC
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This project demonstrates OFDM with adaptive modulation applied to Multiple-Input Multiple-
Output (MIMO) systems.
The analysis and simulation
is considered in two stages. The rst stage involves the application of a variable-rate
variable
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用奇异值分解来消除正弦信号的噪声-using singular value decomposition sinusoidal signal to eliminate noise
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用奇异值分解来对语音信号进行噪声消除-using singular value decomposition of voice signal to noise elimination
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Image Compression
A collection of simple routines for image compression using different techniques.
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTCOMPR:
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一种奇异值分解的更新算法,可以用来增量地进行主成分分析,根据文献《Incremental singular value decomposition of uncertain data with missing values》-《Incremental singular value decomposition of uncertain data with missing values》
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To fully utilize the character of the bioradar echo signal, autocorrelation analysis, spectral estimation methods and time-frequency analysis are presented in this paper. These methods are employed to deal with no one, single people and multi-people
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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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