matlab-examples

MDPSAS工具箱是马里兰大学开发的，基于MATLAB的一套面向对象的模块化仿真工具箱。包含半导体生产过程中的许多对象，对于研究学习是很好的指导材料。(mdpsas is a MATLAB-based set of object-oriented modular simulation tools for solving lumped and spatially distributed models generated from chemical process design and simulation problems. The framework facilitates an evolutionary approach to simulator development, starting with a simple process description and building model complexity and testing modeling hypothesis in a step-by-step manner)

OFDM中的关于二进制转十进制器的个人设计的MATLAB的算法，比较经典的 ！(OFDM on the binary switch to the metric system for the design of personal MATLAB algorithm, more classic!)

跳频系统的仿真,适合于初学者，算法还算清晰，还不错，希望对你有用(Simulation frequency hopping systems, suitable for beginners, the algorithm is fairly clear, well, I hope useful to you)

说明：  这是一份关于瑞利和莱斯衰落信道的matlab代码(Rayleigh and Rice Fading Channel)

使用遗传算法和蚁群算法求解TSP问题，并且 实时地将计算结果和所用时间等信息显示在界面上，很直观。(The use of genetic algorithms and ant colony algorithm for TSP problem, and real-time results and the use of the time information is displayed in the interface is very intuitive.)

该模糊控制器的特点是针对大延迟或纯滞后系统(加干扰)进行控制，利用matlab自带fuzzy工具箱，采用经典文献中的模糊控制规则，并附原理及效果图以供学习交流。(The fuzzy controller is characterized by delayed or for large time delay system (plus interference) control, using fuzzy toolbox matlab own, using the classical literature of fuzzy control rules, together with the principle and effect diagram for the exchange of learning.)

对lbfgsb优化算法的Matlab仿真( Matlab simulation of Optimization lbfgsb)

MIMO技术的基本程序包，包含四个子程序，SIDO,SIMO,SISO,MIMO(Vblast),是MIMO初学者的理想进阶资料(MIMO technology, the basic package, includes four subroutines, SIDO, SIMO, SISO, MIMO (Vblast), is ideal for beginners and advanced MIMO data)

maatlab OFDM交织程序欢迎大家指教(maatlab OFDM-cutting procedures to welcome you enlighten)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)