image-professing

用于计算马氏距离，并可以用于优选近红外光谱的校正集和预测集(used in the calculation of the Mahalanobis distance, and can be used for optimization of near-infrared spectroscopy calibration set and the prediction)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

《精通MATLAB综合辅导与指南》里面的例程(" Comprehensive Counseling and proficient in MATLAB Guide" inside the routine)

This zip files contains the OFDM channel estimation matlab code using Zero Forcing MMSE and LS linear methods.

this matlab code for LS and MMSE channel estimation

利用matlab实现下面的问题：其中u(k)和z(k)分别为模型的输入和输出变量；v(k)为零均值、方差为1、服从正态分布的白噪声；为噪声的标准差；利用得到的u(k)和z(k)来辨识模型的阶次和参数。　　(Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mean and variance 1, follow a normal white noise noise standards Poor utilization u (k) and z (k) to identify the order and parameters of the model.)

说明：  基于matlab的泊车自动动控制算法，值得参考。(The automatic parking control algorithm based on matlab is worthy of reference.)

Book about Fiber Optic Systems and Measurements

双馈电机simlink仿真 可以直接使用 效果不错参数可以自己设定(Doubly-fed machine simulation simlink good results can be directly used parameters can be set)

说明：  基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。(Based on the K-MEANS algorithm image fade)