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Search - eigen values - List
[
WinSock-NDIS
]
Fast_Algorithm_estimating_the_number_of_sinusoids_
DL : 0
Fast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.
Update
: 2008-10-13
Size
: 6.91kb
Publisher
:
wuming
[
Bio-Recognize
]
pca
DL : 0
小弟撰寫的類神經pca對圖片的壓縮與解壓縮,對來源圖片training過後,可使用該張圖像的特性(eigenvalue和eigenvetex)來對別張圖解壓縮,非常有趣的方式,再設定threashold時注意時值不要過大,因為這牽涉inverse matrex的計算.-Boy wrote on Neural PCA image compression and decompression of the source image after training, can make use of the characteristics of images (eigenvalue and eigenvetex) to other copies of illustrated compression, a very interesting way, and then set when threashold attention values not too large, because it involves the calculation of inverse matrex.
Update
: 2025-02-19
Size
: 420kb
Publisher
:
楊於
[
Internet-Network
]
Fast_Algorithm_estimating_the_number_of_sinusoids_
DL : 0
Fast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.
Update
: 2025-02-19
Size
: 7kb
Publisher
:
wuming
[
Speech/Voice recognition/combine
]
Eigenkit
DL : 0
face recognition using eigen values
Update
: 2025-02-19
Size
: 3.58mb
Publisher
:
BHARATHAN S
[
Multimedia Develop
]
EigenFace
DL : 0
This is a MFC program to test Principle Component Analysis (PCA) for constructing Eigenfaces. Using train images, it calculates Eigen values and Eigen vectors with sorting. Then reconstruct test images from PCA coefficients.
Update
: 2025-02-19
Size
: 5.35mb
Publisher
:
SUNGWOONG KIM
[
MPI
]
eigenvalues
DL : 0
cuda编程,并行计算N体问题。cuda programming, parallel computing N-body problem.-cuda programming, parallel computing N-body problem.
Update
: 2025-02-19
Size
: 1.6mb
Publisher
:
xiangxingbin
[
Mathimatics-Numerical algorithms
]
eigenfilter
DL : 0
finding eigen values
Update
: 2025-02-19
Size
: 4kb
Publisher
:
tommy
[
matlab
]
eigen
DL : 0
此程序为用matlab编写的基于最小二乘法通过求解广义矩阵特征值及特征向量进行椭圆曲线拟合程序。 程序中x,y分别为采样点的横纵坐标。生成的结果矩阵为椭圆曲线aX^2+bXY+cY^2+dX+eY+f=0中的各项系数。-This program was written with matlab by solving the generalized least square method based on matrix values and eigen vectors of the elliptic curve fitting procedure. Process x, y, respectively transverse and longitudinal coordinates of sampling points. The results generated matrix of elliptic curve aX ^ 2+ bXY+ cY ^ 2+ dX+ eY+ f = 0 in the coefficients.
Update
: 2025-02-19
Size
: 1kb
Publisher
:
kone_zhang
[
matlab
]
harmonic_number
DL : 0
ast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.
Update
: 2025-02-19
Size
: 7kb
Publisher
:
victor728
[
matlab
]
MATSLISE2006
DL : 0
MATSLISE is a Matlab application for the numerical study of Schringer and Sturm-Liouville problems. MATSLISE allows one to compute the eigen- values and eigenfunctions and to display them graphically. The numerical methods used are the CP methods (abbreviation for Constant reference potential Pertubation Method). -MATSLISE is a Matlab application for the numerical study of Schr鰀inger and Sturm-Liouville problems. MATSLISE allows one to compute the eigen- values and eigenfunctions and to display them graphically. The numerical methods used are the CP methods (abbreviation for Constant reference potential Pertubation Method).
Update
: 2025-02-19
Size
: 1.14mb
Publisher
:
zhangwenrong
[
hospital software system
]
NcutImage_7
DL : 0
segmentatin using graph theory where the eigen values are obtained and segmentation is done
Update
: 2025-02-19
Size
: 210kb
Publisher
:
pallavi
[
Graph Recognize
]
eigen-facial
DL : 0
detect face from eigen values
Update
: 2025-02-19
Size
: 1kb
Publisher
:
Abi
[
Documents
]
Project
DL : 0
complete code of face recognition project using eigen values
Update
: 2025-02-19
Size
: 3.32mb
Publisher
:
yeshwanth kumar.p
[
Windows Develop
]
lda_test
DL : 0
Function to implement Linear Discriminant Analysis Usage:- [Xnew,V,mX,D] = lda(X,index,mX) [V,D] = lda(X,index) where:- X = concatenated grand profile vectors (GPV) i = class index of each vector Xnew = new feature vectors P = eigen vectors mX = mean of GPV (optional in input) D = eigen values- Function to implement Linear Discriminant Analysis Usage:- [Xnew,V,mX,D] = lda(X,index,mX) [V,D] = lda(X,index) where:- X = concatenated grand profile vectors (GPV) i = class index of each vector Xnew = new feature vectors P = eigen vectors mX = mean of GPV (optional in input) D = eigen values
Update
: 2025-02-19
Size
: 1kb
Publisher
:
Praveen
[
OS program
]
pca
DL : 0
Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional) - Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional)
Update
: 2025-02-19
Size
: 1kb
Publisher
:
Praveen
[
matlab
]
EigenfaceCore
DL : 0
To find the Eigen values
Update
: 2025-02-19
Size
: 1kb
Publisher
:
Joanna
[
Other
]
pol_eigen
DL : 0
To calculate the eigen vectors and eigen values, decomposition for a polarimetric radar data set
Update
: 2025-02-19
Size
: 1kb
Publisher
:
saran
[
matlab
]
Simulation
DL : 0
In modal analysis eigen values have to be found out. with these eigen values participation factor has to be found out. Modal analysis to be done for a 9bus,39 bus,30 and 14 bus system .Modal analysis with and without connecting a squirrel cage induction generator to the above mentioned systems has to be done. single turbine generator has to be considered first and after that a wind farm with more than 10 turbine generators has to be connected. 2. continuation power flow In continuation power flow the P-V curve, V-lambda curve, P-lambda curves has to be plotted for unity power factor, a lagging power factor .Lambda being the load parameter. Continuation power flow has to be done for 9 bus ,39 bus,14bus,30bus system. Continuation power flow analysis should be done with and without connecting the squirrel cage induction generator to above systems.single turbine generator has to be considered first and after that a wind farm with more than 10 turbine generators has to be connected -In modal analysis eigen values have to be found out. with these eigen values participation factor has to be found out. Modal analysis is to be done for a 9bus,39 bus,30 and 14 bus system .Modal analysis with and without connecting a squirrel cage induction generator to the above mentioned systems has to be done. single turbine generator has to be considered first and after that a wind farm with more than 10 turbine generators has to be connected. 2. continuation power flow In continuation power flow the P-V curve, V-lambda curve, P-lambda curves has to be plotted for unity power factor, a lagging power factor .Lambda being the load parameter. Continuation power flow has to be done for 9 bus ,39 bus,14bus,30bus system. Continuation power flow analysis should be done with and without connecting the squirrel cage induction generator to above systems.single turbine generator has to be considered first and after that a wind farm with more than 10 turbine generators has to be connected
Update
: 2025-02-19
Size
: 30kb
Publisher
:
Ravindran
[
matlab
]
Code1
DL : 0
3.Bifurcation analysis Bifurcation analysis has to be done for finding the different eigen values. eigen value plot has to be made for understanding the movement of the eigen values stable to unstable region to understand the stability of the system according to the change in system parameters.Bifurcation analysis has to be done for a 9-bus ,39 bus ,14bus,30 bus system with and without connecting squirrel cage induction generator to the system. single turbine generator has to be considered first and after that a wind farm with more than 10 turbine generators has to be connected -3.Bifurcation analysis Bifurcation analysis has to be done for finding the different eigen values. eigen value plot has to be made for understanding the movement of the eigen values stable to unstable region to understand the stability of the system according to the change in system parameters.Bifurcation analysis has to be done for a 9-bus ,39 bus ,14bus,30 bus system with and without connecting squirrel cage induction generator to the system. single turbine generator has to be considered first and after that a wind farm with more than 10 turbine generators has to be connected
Update
: 2025-02-19
Size
: 8kb
Publisher
:
Ravindran
[
Industry research
]
eigen-pwrmethdn5-1
DL : 0
EIGEN VALUES ADVANCED PPT
Update
: 2025-02-19
Size
: 49kb
Publisher
:
simran
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