lua

matlab与其他原因的混合编程，很有用吧(combination of the matlab with other language)

vc++和matlab混合编程，本书提供vc++和matlab混合编程的方法(vc mixed and Matlab programming, this book provides vc mixed and Matlab programming method)

利用matlab求解系列商用车的操纵稳定性，其结果收敛性良好。(Using matlab to solve a series of commercial vehicle handling and stability, the result of good convergence.)

AppLog is a simple application logging utility. (AppLog is a simple application logging utility.)

自己按照下载的信号发生器源程序编写调试，调试成功(Signal generator in accordance with their own source code download write debugging, debugging success)

VC调用MATLAB编译的D(VC Calling MATLAB Compiler DLL )

Matlab_Simulink模型到C_C_代码的自动实现(Matlab_Simulink model to C_C_ code automatically)

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.)

jx Robot源码，需要的可以看看,互相学习(jx Robot source, need to look at)

正向正态云发生器算法，利用Matlab或VC编程实现正向正态云发生器算法，绘制出云模型。(Forward normal cloud generator)