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两个简单程序，一个是在空域和频域分别实现了两个矩阵的卷积。另一个程序主要是为了查看几个模板的空域及频域响应形式，方便理解(Two simple procedures, one is in the spatial and frequency domain is realized for the convolution of two matrices. Another program is mainly to see the airspace of several templates and frequency domain response form, to facilitate understanding)

利用matlab编写程序，通过时域有限差分方法进行电磁场的数值模拟(Use matlab, numerical simulation of electromagnetic fields by the finite difference time domain method)

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对SLAM算法中的EKF-SLAM算法进行改进，并实现仿真程序，与EKF-SLAM V1相比，此算法更快捷，并具有很好的定位结果(Of the SLAM algorithm EKF-SLAM algorithm is improved, and implemented simulation program, compared with the EKF-SLAM V1, this algorithm is more efficient and have good positioning 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)

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)

使用MATLAB实现异步粒子群算法，通俗易懂(APSO algorithm)

这是最基本的人工势场法，同时也做了很多注释，初始的是比较完美的数值仿真。但是，如果将注释中的语句与程序中的互换，就可以看到传统人工势场的缺陷。( This is the basic artificial potential field, but also do a lot of notes, the initial value is more perfect simulation. However, if you comment statements and program exchange, we can see the shortcomings of traditional artificial potential field.)

QPSK的锁相环程序，在MATLAB环境下编写的，用来进行QPSK通信系统的仿真和实际信号载波同步的提取。(QPSK PLL program, written in MATLAB environment, is used for the simulation of QPSK communication system and the extraction of actual signal carrier synchronization.)