PSO

说明：  根据脉冲序列，使用Hankel矩阵法求系统脉冲响应传递函数(According to pulse sequence, the use of Hankel matrix method for system impulse response transfer function)

Visual object tracking software

Proportional Navigation Guidance

使用微机械惯性测量单元进行步态检测，计算行人运动的轨迹。Gait-Tracking-With-x-IMU-master(The gait is detected by a micro mechanical inertial measurement unit, and the trajectory of the pedestrian is computed.)

图像的低通滤波器,用MATLAB设计一个3×3模板标准差为0.5的高斯低通滤波。(Image low-pass filter MATLAB design, a standard template for 3 x 3 0.5 gaussian low-pass filter)

说明：  example of the fuzzy logic in simulation

该程序包含震动分析中的许多程序，实现模态分析。(The program contains a number of vibration analysis procedures to achieve the modal analysis.)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，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。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，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，放入决策数组中。 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”，调用最小风险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，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability 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 The third step is the 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 . Bayesian classifier )

简单的仿真,在simulink里简单的创建了模型,然后练习使用传递函数(Simple simulation in simulink in the creation of a simple model, and then practice using the transfer function)

Ant System algorithm solving classical Traveling Salesman Problems