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采用四参数生成法自动生成多孔介质(二维)，优化了出现独立单个节点、实体内部出现孔洞的问题(Four-parameter generation method automatically generates a porous medium, optimize the emergence of an independent single node, hole problems arise internal entities(2D))

FCM code source help you to execute an automatic seglentation using c++ language

说明：  介绍如何在自己的应用程序中实现毫秒级的控制。(control in million second。 )

Wiener filter with multiple parameters

在matlab中用高斯—勒让德方法求二重积分(Seeking double integral using Gauss method in matlab)

dem差值计算，给定基础网格高程对相应空间迭代差值获得网格高程(dem difference calculation, given the appropriate space on the basis of the grid elevation difference of iterations to get the grid elevation)

matlab开发工具箱中的支持向量机，关于超声波倒车雷达测距的，是信号处理的基础。( matlab development toolbox support vector machine, About ultrasonic parking radar ranging, Is the basis of the signal processing.)

梳妆滤波器的毕业论文和VC实现代码，有很强的参考价值(CIC Filter thesis and VC implementation code, there is a strong reference value)

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.)

TSP问题（货郎担问题，旅行商问题）的模拟退火算法通用malab源程序 f目标最优值,T最优路线,d距离矩阵,t0初始温度,tf结束温度