ar matlab

当M=4时的，在0db、10db、20db时的情况下，在星座上观察接收到得信号，并进行分析(When M = 4 when, in the 0db, 10db, 20db circumstances at the time, observed in the constellation to receive a signal, and an analysis of)

双馈异步发电机并网过程及控制方法的改进，适用于dfig系统仿真(Doubly-fed and improve net process control methods and asynchronous generators for dfig System Simulation)

将低动态范围图像通过色调映射技术转换为高动态范围图像，对图像的亮度通道进行加强，该算法是reinhard代码进行实现的。(The low dynamic range image is transformed into high dynamic range image by hue mapping technology, and the brightness channel of the image is enhanced. The algorithm is implemented by Reinhard code.)

该电子书是用MATLAB语言对数值分析进行描述的。例如：矩阵运算，矩阵分解，微分方程求解，函数插值，函数拟合等数值问题。另外对MATLAB绘图进行了一定的介绍。(The book is a numerical analysis using MATLAB language to describe. For example: matrix operations, matrix decomposition, differential equation solving, function interpolation, function approximation and other numerical problems. In addition to the MATLAB graphics, which must be introduced.)

一个很好用的matlab视频跟踪程序，里面有对应的视频文件，直接就可以仿真运行，方便大家学习。(A good use of matlab video tracking program, which has a corresponding video file, you can directly run the simulation to facilitate learning.)

自适应滤波程序，选用的是维纳滤波、最小二乘法、最陡下降法、均方最小二乘法等(Adaptive filtering process, the choices are the Wiener filter, least squares method, steepest descent method, mean square least squares method)

本书的目的是让读者熟练掌握MATLAB的知识并用来求解工程问题。解决这类问题一般需要编写相对较短、使用次数较少的程序。因此，本书将着重介绍在MATLAB中如何有效地开发简洁易读的程序，同时使之具有易于调试和执行速度快的特点。(The purpose of this book is to allow readers to master knowledge of MATLAB and used to solve engineering problems. To solve such problems usually need to write a relatively short period, the use of fewer procedures. Therefore, this book will focus on how to effectively develop in MATLAB concise, easy-to-read program, so that it has easy debugging and execution speed.)

无刷直流电机双闭环调速系统无刷直流电机双闭环调速系统无刷直流电机双闭环调速系统(No brush DC motor double closed loop speed regulation system)

this code emploid gossian filter on a image

实现matlab的牛顿法。牛顿法是非常有高效的，它是许多强大的数值方法的基础。(Matlab realize the Newton method. Newton method is very efficient, it is many a strong basis of numerical methods.)