15883851SCREEN_LEIDA

徕卡1200数据传输很好用的格式文件，供大家参考使用 (Excellent Leica 1200 data transmission format used for your reference to use)

使用GetSystemInfo函数，获取系统硬件基本信息(get system hardware basic info by using GetSystemInfo function.)

robocup 2d 仿真足球base代码(the robocup 2d simulation Soccer base code)

电子工程转换器模块例子，在matlab simulink 7.5中运行(Converter modle matlab simulink )

随便编写的，我刚学matlab图像处理，这是我的学习程序(Just write, I just learning matlab image processing, this is my learning process)

对一个使用相关器或匹配滤波器的二进制通信系统，用Monte Carlo仿真估计Pe，并画出Pe对SNR的图。(A correlator or matched filter using a binary communication system with Monte Carlo simulation estimates Pe, and Pe draw the map of the SNR.)

MATLAB 和c++混合编程在windows下编程(MATLAB mixed programming and c++ programming in windows)

SGP4官方程序,包括matlab，java，C++等源码和说明文件(Official program of SGP4 model,includes Matlab, VC, Java, etc.)

利用VC和Matlab混合编程,Release文件夹下可直接运行，绘出2D和3D图形。并且可以在VC 6.0环境下调试，注意文件夹中的readme文档说明。(Using VC and Matlab to program, Release folder can be run directly, draw 2D and 3D graphics. And it can debugging in VC 6.0 environment, pay attention to the folder readme documentation.)

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.)