three

基于MATLAB_Simulink的系统仿真技术与应用 本书首先介绍MATLAB语言的程序设计的基本内容，在此基础上系约介绍了系统仿真所必要的数值计算方法及MATLAB实现，并以Simu1ink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真，由浅入深介绍了模块封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术均实时控制技术。本书可作为一般读者学习和掌握MAlLAB／Simulink语言的教科书，也可作为高校理工科各类专业的本科生和研究生系统仿真类课程的教材和参考书，还可供科技工作者、教师作为学习和应用系统仿真分析技术解决实际问题的参考资料。(This book introduces MATLAB programming language, the basic content, in this based on the simulation system presented about the necessary numerical methods and MATLAB implementation, and Simu1ink introduced the system as the main tool for simulation methods and techniques, including the continuous system , discrete systems, stochastic input system and complex system simulation, Deep introduced module packaging technology, power system block set, set of nonlinear system design module, S-function and application of writing, Stateflow finite state machines, virtual reality tools use of boxes and other senior, finally introduced the loop simulation technology are real-time control technology. )

合成孔径雷达（SAR）的点目标回波仿真——rd算法(Synthetic aperture radar (SAR) point target echo simulation- rd algorithm)

This is a first test of a fuzzy image processing application. The following is the documentation and other classes

利用matlab实现了系统辨识与自适应的仿真(Achieved using matlab simulation of system identification and adaptive)

 利用fft()进行快速傅立叶变换，得到频谱，画出正弦函数及其频谱  找出频谱中使得Y轴取最大值时的估计频率记为ft  加入白噪声，绘出信噪比和均方误差的关系曲线 ( using fft () for fast Fourier transformation, spectrum, to draw the sine function and its spectrum  find the spectrum makes the Y-axis maximum value when the estimated frequency is denoted by ft  adding white noise, SNR plot and mean square error curve)

说明：  本程序运用广义模糊神经网络理论采用MATLABL编程，实现了自适应控制(the procedures used fuzzy generalized neural network theory used MATLABL programming, the adaptive control)

CODE MATLAB ACO BEE COLONY SYSTEM FOR TSP PROBLEM

classification Réseau de neurones

Rotation angle estimation algorithms

基于mfcc和gmm的说话人识别系统，go.m为主程序。 部分程序采用的是台湾张智星先生编写的sar和dcpr工具箱，在此表示感谢。(Mfcc and gmm based speaker recognition system, go.m main program. Part of the program is used in Taiwan, Mr. Zhang Zhi Xing written sar and dcpr toolbox to express my gratitude.)