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szfx1
- 采用幂法和反幂法计算矩阵的特征值和特征向量-Using the power method and inverse power method for calculating the eigenvalue and eigenvector of the matrix
eigenvalue_p1_2D
- 利用传统有限元方法计算二维possion 方程的特征值问题，网格采用的是三角网格，由matlab 的pdetool产生，一次多项式近似-Using traditional two-dimensional finite element method possion equation eigenvalue problem, the grid uses a triangular mesh is generated by the matlab pdetool, a polynomial approxim
eigenvalue_computation
- 采用MATLAB语言变异的矩阵特征值计算程序，需要的下载吧-eigenvalue computation
jocb_E_D
- 使用雅克比迭代法求矩阵的特征值特征向量，并可以对特征值大小排序-Jacques eigenvalue eigenvectors than iterative method
UNANR_Matlab
- There is a trend to develop blind or semi-blind source extraction algorithms based on second-order statistics, due to its low computation load and fast processing speed. An important and primary work is done by Barros and Cichocki, who propose an
lapackpp-2.5.2
- LAPACK++ 是一种代数数据库,在很多c与matlab的转换中都需要应用此数据库,应用比较广泛.-LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, and symmetric eigenvalue
numerical-algorithm-source-code
- Visual Basic常用数值算法源代码，内容主要有解线性方程组、插值、数值积分、特殊函数、函数逼近、排序、特征值问题、方程求根、函数极佳和最优化、傅立叶变换、数据统计等-Visual Basic source code commonly used numerical algorithms, mainly the solvability of linear equations, interpolation, numerical integration, special, function ap
heu592893792
- 本程序对超高斯和亚高斯性信源的多路信号进行混合，然后用MDL、AIC、特征值分解、GIC、IAIC几种算法对上述混合信号个数进行估计。-The procedure for multiple signals super-Gaussian and sub-Gaussian sources are mixed, then MDL, AIC, eigenvalue decomposition, GIC, IAIC several algorithms for estimating the mixed s
dgeev
- 很不错的求解特征值和特征向量程序，建议使用-To solve the eigenvalue and eigenvector very good program, it is recommended to use
huazi
- 两个代码一个是demo, demo是它的小样例子, 另外一个是它的源代码. - - This is the matlab implementation of following noise level estimation: Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi Noise Level Estimation Using Weak Textur
OKID
- Several modal identification techniques have been developed in the past few decades, and their use is rapidly expanding due to new focus on the instrumentation of major structures. This paper focuses on the expansion of the eigenvalue realization a
OKID_Rev
- Several modal identification techniques have been developed in the past few decades, and their use is rapidly expanding due to new focus on the instrumentation of major structures. This paper focuses on the expansion of the eigenvalue realization a
matlab-algorithm-program-collection
- MATLAB语言常用算法程序集，内含有基本常用的matlab算法，包括插值、函数逼近、矩阵特征值计算、数值微分、数值积分、方程求根、非线性方程组求解、解线性方程组的直接法和迭代法、随机数生成、特殊函数计算、常微分方程的初值问题、偏微分方程的数值解法、数据统计与分析等方面的代码。-MATLAB language commonly used algorithm for assembly, containing basic common matlab algorithms, including int
main
- 利用JAVA，求解出数字特征值。对数字求特征值是常用的编码算法，奇偶特征是一种简单的特征值。-Using JAVA, solve the digital characteristic values.Eigenvalue of digital encoding algorithm is commonly used, parity is characterized by a simple eigenvalues.
ceig
- 复数特征值分解,输入数据为复数，可以是和蜜甜共轭矩阵，也可以是任意方阵。参数可以自由调节。采用C++编写。-complex-valued eigenvalue decomposition
EIG
- 数值计算中的特征值、特征向量计算，采用matlab代码-eigenvalue computation
mklt
- 基于特征值筛选的子空间语音增强算法研究。-eigenvalue filtering
ind
- Solves the Generalized Indicator Function eigenvalue prblem
NCS2011---146---autmented-reality
- 目前擴增實境技術相關應用大部分以使用標記為主，但各式應用需求與日俱增，無標記(markerless)擴增實境技術使用上更具彈性，不必受限於標記的使用，因此應用層面更廣。視覺追蹤技術是擴增實境系統重要底層核心技術之一，但使用視覺追蹤技術在實際應用上易受到追蹤物件本身及外觀變化之影響，因此本文提出適用於無標記擴增實境應用之物件追蹤方法，能有效追蹤各式真實物件。首先框選設定追蹤物件；接著擷取物件特徵值，藉由特徵值比對以持續追蹤物件，並利用金字塔L-K光流法以縮短比對運算時間；最後經由2D-3D座標轉換
C8
- 运用Fortran程序实现求解特征值及特征向量问题的 Fortran代码-Using Fortran program implements eigenvalue and eigenvector problem Fortran codes