IterSVD_MIMO

这是matlab编写的全局最优的图像二值化方法(prepared by the global optimum image binarization methods)

同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。(At the same time the height and weight data as features, Fisher with linear identifying method for classifier, will this classifier applied to training and test sample, to investigate the training and test error conditions. Will the training sample and values of the decision on the graph shows the boundary, and at the same time before the Bayes method with optimal classifier also paint chart, the similarities and differences of the comparison results. )

键盘输入，计算字符串中数字，字母的个数，并在窗口返回现实数字(keyboard input，calculate the number of number and char of the char group)

振动信号加速度积分程序，可以完成信号的时频和频域积分，功能强大(the program for vibration integral both time and frequency domain.)

Induced Nested Galactic Bars Inside Assembling Dark Matter Halos

采用蚁群算法对路径规划 进行求解. 包含数据和源代码，可展示！(Route Planing, AI . Matlab)

matlab 输入机器人D-H参数，自动计算冗余度机器人T矩阵的小程序(InputD-H factor，get T by Matlab program。)

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)

画图用的matlab程序希望大家能喜欢，不会的密我(Matlab drawing program with the hope that we can like, I will not close)

说明：  快速傅里叶变换和离散线性褶积matlab程序，可以直接调用(Fast Fourier transform and discrete linear convolution matlab program, you can directly call)