GetKC

说明：  自编粒子滤波算法程序，可解决非线性非高斯条件下的目标跟踪问题。(PF written by myself which provided solution of target tracking with non-linear and non-gauss environment.)

含风电的潮流计算含风电的潮流计算含风电的潮流计算含风电的潮流计算含风电的潮流计算含风电的潮流计算(With wind power flow calculation with wind power flow calculation with wind power flow calculation with wind power flow calculation with wind power flow calculation with wind power flow calculation)

实现8psk的simlation仿真，其输入输出很全。(used to simalate the 8psk function)

This code gives the DPAD filter, which has the various codng that provides the filtering of the image.

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)

基于循环谱的调制方式识别与高动态同步技术研究(Modulation based on cyclic spectrum identification and synchronization of high dynamic)

（1）对选定二阶电路图进行仿真，得到仿真的输入、输出数据； （2）建立二阶系统函数，用模拟的方法求解其响应，并用matlab平台求出响应波形； （3）对数据进行拟合； （4）对拟合的结果进行误差分析 ((1) on the selected second order circuit diagram of the simulation to obtain a simulation of the input and output data (2) the establishment of the second order system function, solving the response by the simulation method, and was determined using matlab platform response waveform data (3) be fitted (4) the results of the fitting error analysis)

特征提取，主要应用matlab对图像的特征进行提取，获得一些精度。(tezhengtiqu)

matlab指令讲解，和常见算法分析，，非常具体。。初学者实用(matlab command explanation, and the common algorithm analysis, and very specific. . Useful for beginners)

IIR滤波器设计，包含切比雪夫，巴特沃兹，椭圆等滤波器matlab代码。可直接运行。(IIR filter design, including Chebyshev, Butterworth, oval filter matlab code. Can run.)