ecwf

说明：  中文书名：MATLAB宝典。很适合初学者，内容比较基础，对几个主要的工具包也有较为详细的介绍。(Chinese Title: MATLAB Collection. Is suitable for beginners, the content basis for comparison, on several major kit has more detail.)

利用蚁群优化算法解决TSP问题的源程序，有许多值得改进的地方。(Ant colony optimization algorithm to solve TSP problem of the source, has much to improve.)

CS_MRI:压缩感知（CS）在MRI领域的应用.程序实现展示了CS在MRI的重要作用和明显效果。对于那些CS初学者有着极大的帮助。(CS_MRI:Compressive Sensing s application in MRI field. Codes realize and show the great significance of CS in MRI field.It can be of great help to those fresh in CS field.)

主要包括7位巴克码和13位巴克码的matlab程序。读者可以简单修改程序还选择合适的巴克码(This programme discribes two different length of bark codes.)

以全控型器件和PWM 技术为特征的二极管箝位多电平背靠背变换系统，能够实现能量的双向流动、有功功率和无功功率可独立控制、产生的谐波含量小、直流电压可控(Full PWM control type device and a diode clamp technique is characterized multi-level back-conversion system can achieve two-way flow of energy, active power and reactive power can be independently controlled to produce a small harmonic content of the voltage controllable DC)

对于非线性时变工业过程对象，首先建立模型集来覆盖被控对象动态特性，分别建立相应的内模控制器，在系统变工况运行时，进行多模型加权自适应控制，与传统单内模控制相比，控制效果明显提高。(For the nonlinear and time-varying industrial process object, first ，we build model set to cover the dynamic characteristics of the object, then,set up a corresponding internal model controller respectively.When the system operation mode is running, multiple model weighted adaptive control has been used,and compared with the traditional single internal model control,it has improved obviously. )

用于计算李雅普诺夫指数的混沌方程并且实现(Used to calculate the Lyapunov exponents of chaotic equation and achieve)

所谓跳频，比较确切的意思是：用一定码序列进行选择的多频率频移键控。(The so-called frequency hopping, the exact meaning is: a certain code sequence selected frequency to frequency shift keying.)

makanyabi fault in the generator

计算马氏距离,datasample是基准总体，行为特征值，列为各样本值，如5x1000,testdata是要进行计算的特征向量,MD为计算出的马氏距离(Mahalanobis distance calculation, datasample benchmark overall behavior eigenvalues, as the value of each sample, such as 5x1000, testdata is necessary to calculate the feature vectors, MD for the calculated Mahalanobis distance)