kml-example

介绍了matlab中的M文件用C语言来实现的方法(Matlab introduction of M documents in the C language to realize the method)

一篇基于独立分量分析（ICA）的盲信道MATLAB程序(1 Based on Independent Component Analysis (ICA) for blind channel MATLAB program)

两个正态总体方差的检验(F检验)的matlab程序(Two normal population variance test (F test) in matlab program)

该程序是描述线程的,能够帮助初学者更好的理解线程的实现过程。(this program is about thread in Java.)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

使用马尔科夫蒙特卡洛方法对非常规的概率密度函数进行样本抽取(use MCMC to draw samples)

least squares description

findEnergy.m 计算出图像的梯度图 findSeamImg.m 计算出所有可能的竖直缝 findSeam.m找出能量最小的一条竖直缝 removalMap.m将需要删除的N条竖直缝存储起来并按照索引逐条删除 SeamCut.m将选中的缝一条条的删除 SeamPlot.m在图中画出要删除的缝 Testseam.m调用以上函数的主程序(FINDENERGY creates an gradient img from a given RGB or grayscale image. FINDSEAMIMG finds the seam map from which the optimal (vertical running) seam can be calculated. FINDSEAM returns a column vector of coordinates for the pixels to be removed (the seam). SEAMPLOT takes as input an image and the SeamVector array and produces an image with the seam line superimposed upon the input image, x, for display purposes. SEAMCUT takes as input a RGB or grayscale image and SeamVector array to find the pixels contained in the seam, and to remove them from the image. REMOVALMAP takes a given image and finds the ordered set of (vertical) seams that are removed from an image and returns them in an array, where the Nth column in the array corresponds to the Nth seam to be removed.)

Improved differential evolution algorithm to optimize the hybrid particle swarm optimization intelligent optimization algorithm source code

非常好的偏最小二乘分析的程序，包含了典型相关分析、主成分分析和多元线性回归。可以根据具体的需要更改代码变成非线性回归，建立多个自变量和多个因变量之间的关系应用很广。包含计算程序和画图表示结果的程序两个m文件(Very good partial least squares analysis of programs, including the canonical correlation analysis, principal component analysis and multiple linear regression. It can become a non-linear regression, depending on the need to change the code to establish relationships between multiple independent variables and multiple dependent variables very wide application. Program includes the calculation procedures and drawing showing the results of two m files)