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系统辨识的MATLAB版程序，主要讲辅助变量法的参数辨识(System identification of MATLAB version of procedures, mainly speak auxiliary variable method of parameter identification )

PN序列生成函数, 测试代码. 带有一组生成多项式(failed to translate)

十分有用的matlab参考书 主要关于图像处理方面的

产生一个有带内相位噪声，毛刺噪声，白噪声的LO信号。(creative a LO signal with in band phase noise， spurs and noise floor.)

小波包分析提取振动信号中的特征频率，使用拉亚普诺夫指数的公式，AHP层次分析法计算判断矩阵的最大特征值。( Wavelet packet analysis to extract vibration signal characteristic frequency, Raya Punuo Fu index using the formula, Calculate the maximum eigenvalue judgment matrix of AHP.)

《滑模变结构控制MATLAB仿真》目前最新版的配套光盘中的matlab仿真程序，和适合做滑膜变结构的仿真，可以在基础上扩展，很好的低起点资料(" MATLAB simulation of sliding mode variable structure control," the latest edition of the companion CD matlab simulation program, and suitable for synovial variable structure simulation, you can expand on the foundation, a good starting point for information on low)

用matlab编写的程序“谐波叠加法模拟风速时程”(Programs written using matlab " harmony superposition method for modeling wind speed time" )

说明：  谐波检测基于瞬时功率的pq法，检测电流谐波分量图(Harmonic detection based on PQ method of instantaneous power to detect current harmonic component diagram)

这个程序可以用来在matlab环境下读入和写出.ini文件的内容，因为matlab并没有提供专门读写.ini的函数，所以这个函数很实用(This procedure can be used to read into matlab environment and to write. Ini file, because matlab does not provide specialized reading and writing. Ini function, this function is very useful)

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.)