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说明：  神经网络设计书籍配套源码，Matlab的只有源码，没有配套教材哦(neural network design books matching source, the only source of Matlab, oh no supplementary materials)

matlab命令，方便初级使用者查询命令(matlab command to facilitate the initial user query command)

matlab入门教程，M AT L A B是一个可视化的计算程序，被广泛地使用于从个人计算机到超级计算机范围内 的各种计算机上(matlab introductory tutorial, M AT LAB is a calculation program visualization, are widely used in a variety of computers from personal computers to supercomputers within)

AppWizard has created this SplashScreen application for you.It is programmed by visual C++.(AppWizard this has created a SplashScreen pplication for you.It is programmed by visual C .)

原创的，使用vc++实现匀速运动模型（constant velocity）的kalman滤波，可以运行，并有matlab测试程序对滤波结果进行对比。(vc++ constant velocity kalman filter。the matlab m file can obervers the filter results)

做了詞法分析器，不知道怎樣，希望有人給我提提意見(Done a lexical analyzer, I do not know how, I hope someone is going to give me make a suggestion)

C编写的BPSK调制解调，很有用，值得学习，代码编写很规范(Written in C BPSK modulation and demodulation, very useful, it is worth learning, very standardized coding)

实现应用VC++读取mat文件，实现VC++与matlab混合编程(Achieve application VC++ to read mat file, to achieve mixed VC++ and matlab programming)

CODIGO VISUAL BASIC PARA codigo de barras

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)