Location:
Search - eigenvalues
Search list
Description: Compute the eigenvalues of the transition matrix
Platform: |
Size: 1024 |
Author: sayeh |
Hits:
Description: cuda code for eigen value of matrix
Platform: |
Size: 3500032 |
Author: teena |
Hits:
Description: 计算特征值，特征向量，基本解，数值算法， -Computing eigenvalues, eigenvectors, the basic solution, numerical algorithm, eigenvalue calculation, feature vector, the basic solution, numerical algorithm,
Platform: |
Size: 1024 |
Author: qin |
Hits:
Description: Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010.
We introduce kernel entropy component analysis (kernel ECA) as a new method for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes. This subset does not need, in general, to correspond to the top eigenvalues of the kernel matrix, in contrast to the dimensionality reduction using kernel PCA. We show that kernel ECA may produce strikingly different transformed data sets compared to kernel PCA, with a distinct angle-based structure. A new spectral clustering algorithm utilizing this structure is developed with positive results. Furthermore, kernel ECA is shown to be an useful alternative for pattern denoising.
Platform: |
Size: 3072 |
Author: johhnny |
Hits:
Description: 灰度共生矩阵的源代码，提供计算5种常用的灰度共生矩阵的特征值-GLCM source code, commonly used to provide computing 5 eigenvalues GLCM
Platform: |
Size: 55296 |
Author: 黄笙 |
Hits:
Description: Smooth-Music ，Direction of Arrival Estimation
In a communication situation, assuming flat fading,there may be multipath components from many directions. These components would be correlated with each other. Correlated components reduce the rank of the signal correlation matrix Rs, resulting in more than (N − M) noise eigenvalues.
-Smooth-Music ，Direction of Arrival Estimation
In a communication situation, assuming flat fading,there may be multipath components from many directions. These components would be correlated with each other. Correlated components reduce the rank of the signal correlation matrix Rs, resulting in more than (N − M) noise eigenvalues.
Platform: |
Size: 1024 |
Author: wuhuating |
Hits:
Description: 任意阵列输出数据的协方差进行奇异值分解，求出特征值和特征向量，利用信号子空间和噪声子空间的正交性，构造空间谱函数-Arbitrary array output data covariance singular value decomposition, eigenvalues and eigenvectors obtained using the signal subspace and noise subspace orthogonality spectral function space constructor
Platform: |
Size: 1024 |
Author: 邓 |
Hits:
Description: Matlab软件求矩阵的特征值，进行矩阵的初等变换；讨论向量组的线性相关性等运算。-Matlab software, the eigenvalues of a matrix, the matrix of the elementary transformation discussion of linear correlation vector group such operations.
Platform: |
Size: 1024 |
Author: 石伟婷 |
Hits:
Description: 数值分析中用Jacobi法求方程特征值和特征向量的C程序-Numerical Analysis Method using Jacobi equations eigenvalues and eigenvectors of C program
Platform: |
Size: 16384 |
Author: 太空遨游 |
Hits:
Description: 数学建模实验&matlab实现求矩阵特征值特征向量AHP方法的建模与实现 计算矩阵特征值、特征向量；AHP方法的建模与实现
数学建模实验&matlab实现求矩阵特征值特征向量AHP方法的建模与实现-Experimental & matlab implementation of mathematical modeling to evaluate matrix eigenvalue eigenvector method of AHP Modeling and Implementation of calculating matrix eigenvalues, eigenvectors AHP method of modeling and implementation to achieve mathematical modeling experiments & matlab Matrix Eigenvalues and Eigenvectors AHP method of construction Model and Implementation
Platform: |
Size: 34816 |
Author: jk |
Hits:
Description: PCA转换之后，会得到按序排列的特征值和特征向量，取前n个，进行PCA投影-After PCA transformation, will be in descending order of eigenvalues and eigenvectors, fetch the first n months, for PCA projection
Platform: |
Size: 2048 |
Author: liwei |
Hits:
Description: 出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量，并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近，但解决了现有算法普遍存在的配对难题。
-Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil is called the generalized eigenvalue problem. The most popular algorithm for this task is the QZ algorithm, which is an implicit version of the QR algorithm to solve the associated eigenvalue problem B − 1Ax = λx without forming explicitly the matrix B − 1A (which could be impossible or ill-conditioned if B is singular or near-singular)
Platform: |
Size: 1024 |
Author: 徐微 |
Hits:
Description: 用Jacobi方法求正交矩阵的特征值与特征向量-Orthogonal matrix with the Jacobi method for solving the eigenvalues and eigenvectors
Platform: |
Size: 1024 |
Author: 张皓 |
Hits:
Description: 有关矩阵特征值的ＭＡＴＬＡＢ源程序，解决数学建模问题中矩阵特征值的求解-Eigenvalues of the matrix MATLAB source code to solve the problem in mathematical modeling for solving matrix eigenvalue
Platform: |
Size: 3072 |
Author: xurui |
Hits:
Description: 两篇关于求复矩阵特征值与特征向量的文献.信号处理的很多领域都需要对矩阵的特征值和特征矢量精确求解,利用它们的结果进行下一步处理。比如,阵列信号处理中MU SIC算法,就是利用噪声子空间特征矢量特性进行估计的方法。-some papers about solving Eigenvalue of a complex matrix.Several kinds of classic algorithms for solving eigenvalues and eigenvectors of the matrix are presented.
Platform: |
Size: 185344 |
Author: Thales |
Hits:
Description: library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the built-in EIGS command-library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the built-in EIGS command
Platform: |
Size: 3072 |
Author: aris |
Hits:
Description: 求特征值和特征向量的源代码 请大家指教 用c++编译-Eigenvalues and eigenvectors of seeking the source code, please teach us to use c++ compiler
Platform: |
Size: 19456 |
Author: iamhere |
Hits:
Description: 文是一种基于灰度共生矩阵的图像相似性检索算法，首先将图像分成互不重叠的子图像块，根据子图像
块中像素间灰度差别重新设置每个像素的灰度值为0或l，然后将整个图像重新划分成子块，对子块编码，最后借
助共生矩阵提取的不同方向的特征值来检索图像的相似性。实验结果表明本文算法对图像相似性的检索比传统
方法GLCM、CCM更有效，且检索效率较高，更重要的是此算法还可以反应不同方向上图像的相似度。-Man is an image based on gray level co-occurrence matrix of similarity search algorithm, the first image into non-overlapping sub-image block, the sub-image blocks of pixels gray Cibie reset each pixel grayscale value 0 or l, then the image re-divided into sub-blocks, pair block coding, and finally extracted with co-occurrence matrix eigenvalues in different directions to retrieve similar images. Experimental results show that the algorithm for image similarity retrieval method than the traditional GLCM, CCM is more effective and efficient retrieval, more importantly, the algorithm can also respond in different directions on the image similarity.
Platform: |
Size: 416768 |
Author: 周二牛 |
Hits:
Description: 插值和拟合、数值微分和数值积分、求解线性方程组的直接法和迭代法、 计算矩阵特征值和特征向量和常微分方程数值解等问题。-Interpolation and fitting, numerical differentiation and numerical integration, solving linear equations of the direct method and iterative method of calculating matrix eigenvalues and eigenvectors and the numerical solution of ordinary differential equations and other issues.
Platform: |
Size: 206848 |
Author: 孙涛 |
Hits:
Description: 自己封装的矩阵运算的类，用C#编写，例如转置、求逆、求特征值、矩阵乘法等-Own package matrix operations class, written using C#, such as transposition, inversion, find eigenvalues, matrix multiplication, etc.
Platform: |
Size: 4096 |
Author: 郭挺 |
Hits:
«
1
2
...
4
5
6
7
8
910
11
12
13
14
...
32
»