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实现人员出入管理，输入和输出,人员的添加，管理！(to made the people s manage!)

基于的ASKmatlab，完整的程序，有能相关的说明和注释，有需要的朋友下载吧~(Based on the ASKmatlab, complete program and relevant instruction and comments, the need to download friends ~)

设关系A是从集合X={1，2，….，n}到集合Y={1，2，…..，m}的二元关系，而关系B是从集合Y到集合Z={1，2，….，p}的二元关系，求A与B的合成关系C。(A relationship is established from the set X = (1,2, ...., N) to the collection Y = (1,2, ... .., m) of binary relations, the relationship B is from a collection of Y to the set Z = ( 1,2, ...., p) of the binary relation, find the relationship between A and B, synthesis of C.)

求解系列重型商用车的平顺性，求解结果收敛性良好。(Solving a series of heavy commercial vehicles, ride comfort, and solving the resulting convergence is good.)

A set of C++ and Matlab routines implementing the surfacelet transform surfacelet的一个非常好用的工具箱(A set of C++ And Matlab routines implementing the surfacelet transformsurfacelet a very useful toolbox)

MATLAB 数字信号处理工具箱中decimate函数c语言实现(MATLAB Digital Signal Processing Toolbox decimate function c language)

cuda5 and matlab code for Gaussian filtering and parallel image processing code, we hope to help

sample visua basic hoc tap bao cao

64位系统下，ksvd降噪的matlab代码(64 bit system, ksvd noise reduction of matlab code)

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.)