MAT

Good book for learing Opamp. Hope this is useful

基于粒子系统和纹理绘制的火焰模拟Texture rendering based on particle systems and fire simulation(Texture rendering based on particle systems and fire simulation)

Low Density Parity Check code is a error control code used in the DVBS2 standard codec

Read the all images in a folder

说明：  《精通MATLAB7.0混合编程》系统地介绍MATLAB 7.0的混合编程方法和技巧。全书共分为13章。第1章和第2章介绍MATLAB的基础知识，第3章简要介绍MATLAB混合编程，第4章至第9章分别介绍几种典型的混合编程方法，包括C-MEX、MATLAB引擎、MAT数据文件共享、Mideva、Matrix和Add-in。第10章、第11章介绍MATLAB与Delphi和Excel的混合编程。第12章介绍MATLAB COM Builder，第13章以图像处理为例介绍了一个综合应用实例。 本书按混合编程的具体方法进行逻辑编排，自始至终用实例描述，每章着重阐述各种混合编程方法的实质和要点，同时穿插了作者多年使用MATLAB的经验和体会。本书既适合初学者自学，也适用于高级MATLAB用户，可作为高等数学、计算机、电子工程、数值分析、信息工程等课程的教学参考书，也可供上述领域的科研工作者参考。 这里是本书所有源码压缩包，内容详尽、实例丰富，包含MATLAB实例的源文件、函数/命令和注解以及程序实例。 ("proficient MATLAB7 mixed programming" system introduced in MATLAB 7.0 Mixed Programming methods and techniques. The book is divided into 13 chapters. Chapter 1 and Chapter 2 on the basis of knowledge MATLAB, Chapter 3 briefed Matlab. Chapter 4-Chapter 9, respectively introduced several typical mixed programming, including C-MEX, MATLAB engine, MAT data file sharing, Mideva, Matrix and the Add-in. Chapter 10, Chapter 11 and Delphi on MATLAB and Excel hybrid programming. Chapter 12 on MATLAB COM Builder, chapter 13 for image processing as an example of a composite application. The book by the mixed programming methods for the specific logic layout description throughout example, Each chapter focuses on a combination of programming and real elements, while full of the author's )

这里给出了加权OMP的matlab代码，希望此代码能够对研究信号处理的同志有所裨益(Here are weighted OMP of matlab code, I hope this code of signal processing can be beneficial to the comrades)

buck电压电流双闭环 在simulink仿真环境下(Voltage and current double closed loop)

说明：  levy噪声，两个文件，levy是产生levy噪声，另一个是画图(Levy noise, two files, levy is the generation of levy noise, the other is drawing)

迭代法求解线性方程组，首先将方程组AX=B中未知数X给定，计算出矩阵B。然后把矩阵B带入，利用雅各比迭代法反求X(Iterative method for solving linear equations, the first of equations AX = B will be in the unknown X given to calculate the matrix B. Then the matrix B into the use of Jacobi iterative method of reverse X)

牛顿拉夫逊法 的matlab 程序,已经验证 可以使用(Newton Raphson method)