sensorless_MRAS

说明：  matlab经典算法，数学建模很有用的。(matlab classic algorithms, mathematical modeling very useful.)

实现数据的kmeans聚类。对SD，AD及其他多位数据集具有良好的聚类效果。(realize kmeans on data sets and have high qunlity.)

Robert,sobel图像轮廓提取代码，不是matlab自带函数！(Robert, sobel image contour extraction code, not matlab own function!)

利用原点唯一幂法求解矩阵的最大特征值及其对应的特征向量(Of origin only power method for solving matrix eigenvalue and its corresponding feature vector)

股票指数模拟为几何布朗运动，GBM。 参数有五个： s0，dt（time step），均值，标准差，到期时间T； 利用子函数进行10万条轨道的monte carlo 模拟到期日（3个月）的指数点数，从而估计在买入信号出现后，3个月后的损益情况，主要用来估算VAR (Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM. )

matlab数值计算的很多例程,包括了很多经典的算法,有配套的书,可以结合起来研读,值得研究,很多代码值得直接使用.(Matlab numerical calculation of many routines, including a number of classic algorithms, a matching, can be combined to read, it is worth studying, many worthy code used directly.)

THis ia a program to find shortest path.it is implemented in matlab

说明：  用matlab实现谱估计，包括自相关及burg等(Using matlab to achieve spectral estimation, including autocorrelation and burg, etc.)

在matlab环境下求解典型的数学问题,包含多种工程应用实例(in Matlab environment for a typical math problems, the project includes a variety of application examples)

Today, there is almost no area of technical endeavor that is not impacted in some way by digital image processing.We can cover only a few of these applications in the context and space of the current discussion. However, limited as it is, the material presented in this section will leave no doubt in the reader’s mind regarding the breadth and importance of digital image processing.We show in this section numerous areas of application, each of which routinely utilizes the digital image processing techniques developed in the following chapters. Many of the images shown in this section are used later in one or more of the examples given in the book. All images shown are digital.