shiyupinyutu

介绍了matlab里常用的命令函数，便于查找使用。(The matlab command function, easy to find use.)

说明：  用MATLAB来实现smith圆图的设计思路及方法(smith)

this is codes for membership functions in different fuzzy sets

Stephen J.Chapman《MATLAB编程（第二版）》英文影印版的中文译本，这本书对初学者很好的入门教材。(Stephen J.Chapman "MATLAB Programming (second edition)," the English version of the Chinese translation of photocopying, this book is a good primer for beginners.)

用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序.(Using matlab based on the Bayes minimum error rate classifier simulation, the preparation of the corresponding program.)

控制工具箱与SIMULINK软件应用：系统对象为G(s)=4/s(s+2) PI补偿器K1(s)=(s+1)/s K2(s)=(s+0.5)/s a 若由K1(s)与 G(s)串联组成的单位反馈系统，称为系统A。 b 若由K1(s) 放置在G(s)的反馈通道称为系统B。 c 若由K2(s)与G(s)串联组成的单位称为系统C，绘制上述每一种情况的阶跃响应与斜坡响应，求每一种情况下的系统阶跃响应误差与斜坡响应误差，并与理论分析结果进行比较。 (Control toolbox and SIMULINK software application: system object for G (s) = 4/s (s+ 2) PI compensator K1 (s) = (s+ 1)/s K2 (s) = (s+ 0.5)/s If a by K1 (s) and G (s) series of feedback system of the unit, known as a system a. B if the K1 (s) placed in G (s) feedback channel called system b. If c by K2 (s) and G (s) series of unit is called system c, draw the above each kind of condition of step response and slope response, for each of these cases system step response error and slope response error, and the results were compared with theoretical analysis.)

matlab程序运行时导入数据文件作为输入参数，多目标跟踪的粒子滤波器，车牌识别定位程序的部分功能，有信道编码，调制，信道估计等，正确率可以达到98％，数据模型归一化，模态振动。( Import data files as input parameters matlab program is running, Multi-target tracking particle filter, Part of the license plate recognition locator feature, Channel coding, modulation, channel estimation, Accuracy can reach 98 , Normalized data model, modal vibration.)

这本书讲述了认知无线电的发展，以及认知无线电的重要性，是认知无线电的开山之作，里面的理论通俗易懂，容易理解，有很多仿真图形(This book describes the development of cognitive radio, as well as the importance of cognitive radio, cognitive radio for the mountains, which the theory easy to understand, easy to understand, a lot of graphic simulation)

完备工具包，在原工具包中添加了io.m/extr.m，instfreq.m(Complete toolkit, in the original kit added io.m/extr.m, instfreq.m)

matabl filtered high frequency noisy