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imgsteg
IMAGE STEGNOGRAPHY LKE THIS CHEC IT ADVANTAGE USING ATLAB.VERY USEFULL
- 2013-11-28 22:20:22下载
- 积分：1
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Inc_cirlar_Rev1
Addition for existing code
- 2011-11-29 02:52:33下载
- 积分：1
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MDSP_MATLAB7
Super resolution Super resolution
Super resolution Super resolution
Super resolution Super resolution
Super resolution Super resolution
Super resolution Super resolution
- 2010-01-08 19:48:18下载
- 积分：1
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nrw_matlab
该matlab语言可以用于计算天线测试中的散射系数s11和s21，(The matlab language can be used to calculate scattering coefficient of the antenna test s11 and s21
)
- 2020-06-30 03:40:01下载
- 积分：1
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cSharp-v4.0
c# language specification book (zip version)(pdf inside)
- 2014-01-15 19:10:50下载
- 积分：1
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parallel_chebysheve_coffi
计算平行线耦合的奇偶模阻抗值和切比雪夫低通原型滤波器的耦合系数(caculate the parrellel coupleline odd and even resistance value and based on the Chebyshev lowpassfilter coupled cofficients)
- 2014-07-27 21:23:01下载
- 积分：1
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Mahalanobis
马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)
- 2021-02-07 08:59:55下载
- 积分：1
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lqx
ga算法
优化PID参数
功能简单实用
很好很强大(genetic agoration)
- 2010-05-28 15:03:00下载
- 积分：1
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cgsvd
CGSVD Compact generalized SVD of a matrix pair in regularization problems.
sm = cgsvd(A,L)
[U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu]
Computes the generalized SVD of the matrix pair (A,L):
[ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X)
[ L ] [ 0 V ] [ 0 eye(n-p) ]
[ diag(mu) 0 ]
where
U is m-by-n , sigma is p-by-1
V is p-by-p , mu is p-by-1
X is n-by-n .
It is assumed that m >= n >= p, which is true in regularization problems.
Reference: C. F. Van Loan, Computing the CS and the generalized
singular value decomposition , Numer. Math. 46 (1985), 479-491.
Per Christian Hansen, IMM, 12/19/97.
Initialization.
- 2021-03-25 20:29:14下载
- 积分：1
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PlatEMO-master
platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点：
1.完全由MATLAB开发，不需要任何其它库。
2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。
3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。
4.强大友好的GUI，可以不用编辑任何代码。
5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics:
1. Developed entirely by MATLAB without any other libraries.
2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010.
3. Users can display various graphics, including Pareto front, real Pareto front and so on.
4. Powerful and friendly GUI, you can edit no code.
5. Excel or LaTex can be generated directly.)
- 2020-08-18 16:58:22下载
- 积分：1
