hunqei_v16

说明：   使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。 (The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)

说明：  自己总结搭建的模糊PID控制程序，根据具体的对象可以自己设置相应的参数(Sum up their fuzzy PID control procedures set up, according to the specific object can own set of parameters corresponding)

This is my first upload which contain some stuff files from my final project.

very simple watermarking using matlab. to hide a message in cover image..

synchronisation impulsive satllite

MATLAB for Signal Processing-AdaptiveLinearPredictionFilter-LMS

绘制风频的瑞利分布图，风速区间取在0~30m/s。(Draw up the wind frequency of the Rayleigh distribution,Wind speed range in 0 ~ 30 m/s.)

Matlab上简单的人脸检测及人眼识别.人眼识别基于人眼开度。(Face detection and eye detection using Matlab)

经典算法案例，实用教程。有各种分类及源代码，从简到繁。(Classical algorithmic cases, practical tutorials)

用感知准则函数的方法求解以下数据的判决面，学习率为 ，画出每次迭代法向量的变化轨迹，并画出最终的判决曲线。 (The Perceptron criterion function method for solving the decision following data side, learning rate, draw vector for each iteration the trajectory, and draw the curve of the final decision.)