my2KSW

信号的调制，包括BPSK,QPSK,16QAM,64QAM，(Signal modulation, including BPSK, QPSK, 16QAM, 64QAM,)

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 )

说明：  这是黑龙江大学自控理论专业同学编写的二段递推最小二乘法!(This is the theory of controlled Heilongjiang University students prepared by the professional noticing recursive least squares method!)

用matlab编写的线性卷积和FFT，与matlab自带函数功能一样。每行代码都有注释，便于拓扑和扩展(Linear convolution and FFT using matlab matlab own function function. Each line of code is well commented, easy topology and extended)

利用常用四阶龙格-库塔公式求初值，再利用汉明公式、米尔恩公式和改进的四阶亚当斯隐式公式及常用的四阶龙格-库塔公式求解其余的数值解求解常微分方程初值问题，并计算它与精确解的误差(Use of commonly used fourth order Runge- Kutta initial value to the Formula, and then use the Hamming formula, Milne formula and improved fourth-order implicit Adams formula and the commonly used Runge- Kutta formula for solving the numerical solution for solving the remaining ordinary Differential Equations, and calculate the error it with exact solutions)

power system load controlled by hady

mel spectral keofisien

the matlab code for lte simulation and 4g mobile

optical fiber encryption in drpe

密度聚类optics代码，用matlab编写(Density clustering optics code, using MATLAB to prepare )