DES

说明：  一般粒子群算法，可以解决一般的优化问题，有较好的收敛性和计算速度。(General particle swarm algorithm to solve optimization problems in general, better convergence and calculation speed.)

利用最小方差方法估计复正弦加白噪声得平稳信号的功率谱(After using the method of minimum variance estimate sine smooth white noise to the signal power spectrum)

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)

signals and systems matlab codes

create custom gaussian

显示原图，matlab.良好的操作性良好的操作性(Show the image, matlab. Good good interoperability interoperability)

主要介绍一些基本的神经网络知识和总结，以及实现过程中应该注意的一些问题(Describes some of the problems some basic knowledge of neural networks and summary, as well as the implementation process should be noted)

自己编的一阶倒立摆matlab程序及建模方程说明文档。(Their own series of inverted pendulum matlab first order equation modeling procedures and documentation.)

一、直接数据通道传送 二、常用DMAC芯片— Intel 8237 三、IBM PC/XT中的 DMA 控制逻辑 四、应用举例 (A direct transfer two data channels, often DMAC chip- Intel 8237 3, IBM PC/XT in the DMA control logic 4, Application Examples)

Demo for the Fractional-Order Chaotic Systems (FOChS) - functions