activex_teechart

matlab学习资料 matlab自学资料 matlab

形态学的膨胀，腐蚀，细化的MATLAB的源代码，对初学者有用(Morphological expansion, corrosion, thinning of MATLAB source code, useful for beginners)

ANSI input 5p3 implementation

MATCOM提供了MATLAB到C++的编程接口，本文是MATCOM4.5的说明文档，详细介绍了MATCOM的各个函数和操作符等。(MATCOM MATLAB to C++ provides a programming interface, this article is MATCOM4.5 documentation, detailing MATCOM various functions and operators and so on.)

找到的一个比较实用的日历程序源码，用于开发与日期相关的程序，替代Calendar，实现其无法改变颜色等操作(To find a more practical calendar program source code, for the development of date-related procedures, alternative Calendar, realize that it can not change the color and other operations)

this is a example about matlab and VC

粒子群算法,自己编的一个程序，可以实现，运行main函数(Particle Swarm Optimization)

电力系统分析牛顿拉夫逊法就算潮流主程序及各个子程序合计牛拉法(Power Systems Analysis Newton Raphson even if the trend of the main program and each subroutine Total cattle Rafah)

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.)

运用matlab语言编译，进行聚类分析，并且给出了matlab界面。(failed to translate)