shuzhi

This is a book for studying matlab language

Krylov Fixed Structure Automata in Cellular Automata Matlab Code

采用移相控制与PI控制器实现双有源全桥控制(Phase shift control using dual active full bridge control and PI controller)

wind solar mppt inverter boost converter

DOA using MUSIC Method

FIR & IIR Digital Filters

本书主要介绍如何运用Matlah与C.C + +进行混合程序设计。共分8章。主要包括Matlab程序设计初步、Matlab编译器、Matlab与C语言的接口、生成可独立运行的iatlah程序、VC++调用Matlah程序、Matlab DotNet Builder与VC++,Matcom与C/C++以及VC++调用Matlab C++数学库。另外，附录中介绍有关动态链接库的基础知识。各章包含大量 的实例程序，可供寻求将Matlab程序脱离Matlab环境的Matlab程序设计人员、寻求在Matlab中调用C/C++程序的程序设计人员、寻求在C,C++中调用Matlab程序的程序设计人员学习和参考。(This book describes how to use Matlah mixed with the CC++ programming. Divided into 8 chapters. Including Matlab programming initially, Matlab compiler, Matlab and C language interface to generate can be run independently of the iatlah program, VC++ calls Matlah program, Matlab DotNet Builder and VC++, Matcom and C/C++ and VC++ calling Matlab C++ math library. In addition, the appendix describes the dynamic link library on the basis of knowledge. Each chapter contains a large number of example programs are available for the Matlab program from the Matlab environment, Matlab programmer, seeking to Matlab to call C/C++ program programmers seek to C, C++ calling Matlab program programmers study and reference.)

一堆沙子的横截面，可以使用 Margolus 型邻居仿真，但运动规则不同。 规则： 元胞有 2 个状态。状态= 0 是空的，状态= 1 代表沙子。 在任何时间步长，一个粒子，可以在2x2 块中向着底部运动。可能运动如下 所示。墙壁和底部将阻止粒子继续运动。 为了让该运动略有随机性，我亦补充说一项规则，有时处于下落状态的两个元胞还旋转，直到所有的动作都完成。(Cross-section of a pile of sand, you can type using the Margolus neighborhood simulation, but the movement rules are different. Rules: There are two cellular states. State = 0 is empty, state = 1 for sand. At any time step, a particle can be in the 2x2 block toward the bottom of the movement. May exercise the following. Walls and bottom to prevent the particles continue to campaign. To make the campaign a little random, I also added a rule, sometimes in the falling state of the two cell also rotate until all actions are completed.)

窄带信号基于最小估计长度和最大似然估计的信号数目及波达方向的联合估计(Narrowband signals based on the number of signal joint estimate minimum and maximum likelihood estimate of the length and direction of arrival estimation)

This programme is useful to nural network speciallists.