QPSK

说明：  采用db1基本小波来分解信号,比较第三层近似信号与原始信号,重构最大误差,比较第三层近似信号与原始信号.(used db1 to the basic wavelet decomposition signal, the third layer approximate comparison with the original signal signal, the largest reconstruction error Comparing the third layer similar to the original signal with the signal.)

米氏散射，是跨湖湿地哈斯哦三等奖哦啊岁的啊的哦阿萨德哦啊速度快(mie scatting )

can.m源码，为自己编写的MATLAB函数(can.m source code, written in MATLAB functions for their)

基于小波基的树结构的贝叶斯方法，采用MCMC推断方法。(Tree structure of wavelet-based Bayesian methods using MCMC inference method.)

计算多重分形非趋势波动分析，线性调频脉冲压缩的Matlab程序,小波包分析提取振动信号中的特征频率。( Calculate the multifractal trend fluctuation analysis, LFM pulse compression of the Matlab program, Wavelet packet analysis to extract vibration signal characteristic frequency.)

基于双门限比较法的端点检测程序，使用matlab7编写！(Comparison method based on double threshold endpoint testing procedures, the use matlab7 write!)

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.)

Pedagogy Pedagogy Pedagogy

说明：  meanshift均值平移跟踪算法中核函数窗宽的自动选取代码，根据目标大小变化核窗宽，使得当目标出现大小变化时准确跟踪到目标中心(meanshift)

matlab实现pso算法 大家看看把 看看能不能用 互相学习(Matlab achieve pso algorithm we can look at the decision to learn from each other can not be used)