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直方图均衡化，数字图像处理，简单matlab函数(Histogram equalization, digital image processing, a simple matlab function)

MATLAB finite element code II

瑞利衰落信道（Rayleigh fading channel）是一种无线电信号传播环境的统计模型。这种模型假设信号通过无线信道之后，其信号幅度是随机的，即“衰落”，并且其包络服从瑞利分布。(Rayleigh fading channel, Rayleigh fading channel) is a statistical model of radio signal propagation environment. This model assumes that the signal through a wireless channel, its signal amplitude is random, or "decline", and its envelope obey Rayleigh distribution. )

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

用数值方法求解尺度为100mm×100mm的二维矩形物体的稳态导热问题。(Numerical method to solve for the 100mm × 100mm scale two-dimensional steady-state heat conduction problem of rectangular objects.)

立体视觉方向 透视投影矩阵 基础矩阵等地求解函数(The stereovision direction perspective projection matrix fundamental matrix to solve the function)

应用条件随机场知识对图像进行分割，场景理解。(Application CRFs knowledge of image segmentation, scene understanding.)

如何计算矩阵数据的协方差矩阵。还有在什么情况下只能计算均值、方差，而不能计算协方差，什么情下，只能计算协方差，但不能计算协方差矩阵。(How to calculate the matrix data covariance matrix. And under what circumstances can only calculation mean, variance, and not calculation covariance, what feeling, can only calculation covariance, but not calculation covariance matrix.)

利用NSGAⅡ算法处理多目标优化问题，测试函数包括ZDT1,2,3; DTLZ1,2,3。包含测试函数的真实前沿面数据。(NSGA II algorithm is used to deal with multi-objective optimization problems. The test functions include ZDT1,2,3 and DTLZ1,2,3. Contains the real frontier data of the test function.)

绘制gabor滤波器的时域和空域图形，具有一定的参考价值。(Draw the time and space domain graphics .And it has a certain reference value.)