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fisher算法在多类情况下的matlab实现，主程序调用multiclassfisher既得。(fisher algorithm in a wide range of circumstances to achieve the Matlab, main program called multiclassfisher acquired.)

HELP FOR NEED REZA KIANI

number of errors reported in a file. int errors .

基于最基本的粒子群算法提出了一种与从生物角度提出来的小生境算法相结合的小生境粒子群优化算法(Based on the most basic particle swarm algorithm, a niche particle swarm optimization algorithm is proposed based on the niche algorithm proposed the biological point of view.)

1) 以身高为例，画出男女生身高的直方图并做对比； 2) 采用最大似然估计方法，求男女生身高以及体重分布的参数； 3) 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）； 4) 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(1) taking height as an example, draw the histogram of male and female students and compare them; 2) the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students; 3) using Bayesian estimation method to find the parameters of height and weight distribution of male and female students (assuming the variance is known, please indicate some of the parameters selected by the job); 4) using the minimum error rate Bayes decision, draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?)

jadeR.m是一种关于联合矩阵实现的fastICA的分离矩阵的求解(jadeR.m The method of soving separate matrix )

mimo2乘2矩阵的仿真与应用，内有源码与注释源码，方便阅读理解(mimo2 by 2 matrix of simulation and application source code and comments within the source code to facilitate reading comprehension)

探讨了在 MATLAB 环境中实现遗传算法仿真的方法 ,并以一个简单的求函数最值的问 题作为遗传算法的应用实例 ,说明遗传算法的全局寻优性及用 MATLAB 实现仿真的可行性(Explore the genetic algorithm simulation in MATLAB environment, and the value of a simple demand function as genetic algorithm application examples, description of the genetic algorithm global optimizing nature and the feasibility of using MATLAB simulation)

fft相关法估计chirp信号调频率，一种高效的线性调频信号参数估计方法(A highly efficient linear FM signal parameters estimation method )

Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.(Tracking a moving object through several frames, provided changes from frame to frame are on the order of+-(10+ "X Range") pixels in the X direction and+-(10+ "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.)