GA

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)

The function of channel estimation is to form an estimate of the amplitude

FEM method in 2D problem

神经网络模型辨识及其MATLAB实现范例(Neural network model identification and implementation examples of MATLAB)

完整的GSM信道编码 为话音信道的卷积编译码 还有交织(integrity of the GSM channel coding for voice channel convolution encryption also intertwined)

这是我们通信建模与仿真书上的程序，是白噪声＆瑞利信道下对OFDM的仿真实现。(This is our communication on Modeling and Simulation on the procedures, White Noise & Rayleigh Channel on OFDM Simulation.)

说明：  支持向量机的matlab实例，对学习支持向量机有很大的帮助。(The matlab example of the support vector machine is of great help to the learning support vector machine.)

包括2代小波示意程序，2维小波变换经典程Daubechies小波基的构造等小波程序的合集(Including 2 generation wavelet signal process, the classic 2-D wavelet transform Daubechies wavelet-way structure of the collection procedures, such as wavelet)

it contains a matlab file with extension of .m

说明：  用于灰色预测的GM(1,1)程序，输入时预测原始数据，输出时预测数据加处理后的原始数据(gm(1，1）process)