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research paper about independent component anlysis approach to denoise image

圆方程的拟合Matlab代码圆方程的拟合Matlab代码(Fitting equation round round Matlab code for fitting equations Matlab code)

加高斯噪声，椒盐噪声，复杂高斯噪声，复杂传统噪声(salt&pepper noise ；gaussian noise ；multiplicative gaussian；multiplicative uniform)

implementation of fuzzy logic of vector control

一些经典的传统标定文献，挺全的，还有用matlab做的Tasi标定中的共面法和异面法进行的标定精度分析程序(Some of the classic literature of traditional calibration, quite complete, there are to do with matlab Tasi coplanar calibration method and in-plane method of calibration accuracy of analytical procedures)

Pseudo-Stereo Mixture

cma算法的源代码,可仿真出图，还是不错的(cma algorithm source code, can be a simulation diagram, or good)

Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )

广义旁瓣抵消器（GSC）是麦克风阵列语音增强中被广泛采用的一种自适应波束形成算法(generalized sidelobe canceller (GSC) is the microphone array speech enhancement which has been widely used in an adaptive beamforming Algorithm)