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直流电机的仿真模型，还有一些帮助说明。(Dc motor of the simulation model, and some help explain.)

说明：  大量遗传算法实现程序，用ＭＡＴＬＡＢ实现．借花献拂！(large amounts of genetic algorithm procedures, using MATLAB. Presented by fu spent!)

一组心电信号插值重采样以及采用db5小波滤波(A set of ECG signal interpolation resampling and the use of db5 wavelet filter)

Contrast Enhancement Utilities (Image Equalization filter

信号源的emd分解，得到imf分量，以及imf分量的时频图。(The signal source EMD decomposition, the IMF component, as well as the imf component time-frequency diagram.)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Call the minimum error rate decision Functions Bayesian)

基于simulink模块的无刷直流电机仿真，适合初学者理解电机运行机理(Simulink module based on the brushless DC motor simulation, suitable for beginners to understand the motor operating mechanism )

这是较好的Matlab源代码，希望此代码能对大家有所帮助。(This is a better Matlab source code, I hope this code can be helpful to everyone.)

说明：  协同预测模型,用于滑坡位移数据的建模以及预测，有良好精度(Collaborative forecasting model)

分组调度算法中三种基本的调度算法，轮询（RR）、最大载干比（Max C/I）以及比例公平调度算法（PF）的MATLAB编程，对吞吐量、公平性以及时延性的仿真实现过程。((RR), Max C / I and MATLAB programming, the simulation of throughput, fairness and delay in the three basic scheduling algorithms, packet scheduling algorithm Implementation process.)