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说明：  《MATLAB 7.0编程基础基础》源程序，适合初学者使用，第7章(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners, Chapter 7)

用矩量法计算天线辐射特性的MATLAB演示程序，程序很紧凑，执行效率很高(Moment method antenna radiation characteristics of MATLAB demonstration program, the program is very compact, high efficiency in the implementation)

异步电动机反接制动，与陈伯时电机拖动课程内容相似(Asynchronous motor reverse braking Emulator)

完成表的查询和删除操作（源码和实验报告）对班级表class(Inter id,Varchar cname()进行添加、查询、删除操作。(On the class list class (Inter id, Varchar cname () to add, query, delete operations.)

说明：  关于径向基函数神经网络、两个典型的反馈神经网络Hopfield网络、Elman网络的简单示例，适合初学者掌握径向基函数网络和反馈网络的神经网络工具箱函数，为全面学习这两类网络打下基础。(The simple examples of radial basis function neural network, two typical feedback neural networks Hopfield network and Elman network are suitable for beginners to master the neural network toolbox functions of radial basis function network and feedback network, which lays a foundation for comprehensive learning of these two types of networks.)

1. 基于simulink搭建一个QPSK发送链路，QPSK调制信号经过了瑞利衰落信道，观察信号经过衰落前后的星座图，观察信道特性。仿真参数：信源比特速率为500kbps，多径相对时延为[0 4e-06 8e-06 1.2e-05]秒，相对平均功率为[0 -3 -6 -9]dB，最大多普勒频移为200Hz。(1. Based on simulink structures, QPSK sent a link, the Rayleigh fading channel after the QPSK modulation signal, were observed before and after signal after the decline of constellation diagram, observation channel characteristic. Simulation parameters: the source is 500 KBPS bit rate, relative multipath time delay of [0 8 e 4 e- 06-06 e-05] 1.2 seconds, the relative average power is [0-3-6-9] dB, most of the doppler frequency shift is 200 hz.)

极大似然算法辨识程序, 系统辨识里面常用的辨识方法(Maximum likelihood algorithm for identification procedures, system identification methods which identification of common)

matlab数值计算的很多例程,包括了很多经典的算法,有配套的书,可以结合起来研读,值得研究,很多代码值得直接使用.(Matlab numerical calculation of many routines, including a number of classic algorithms, a matching, can be combined to read, it is worth studying, many worthy code used directly.)

filter design code which describe filter design of low pass filter using window function

程序实现了naive bayes classifier， 并附有对美国参议院根据投票情况来判断议员属于民主党还是共和党的例子。(Program achieved a naive bayes classifier, along with the U.S. Senate voting to determine under Democrat and Republican members belonging examples.)