NGLG

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 )

k-means clustring clusters through a fully vectorized algorithm

说明：  GMSK调制程序，采用I/Q调制，生成基带GMSK信号，供大家学习和参考！(GMSK modulation procedures, the use of I/Q modulation, to generate baseband GMSK signal for them to learn from and reference!)

Almouti STBC Bit error comparison with MRC

用matlab编写的实现牛顿插值法的代码，生成图像可显示节点数，误差点。(Prepared with the matlab code to achieve Newton interpolation to generate the image to show the number of nodes, the error point.)

PI regulation as an example of one of most polupalar methods of usage classical control system methods.

说明：  充分理解傅立叶变换，直接根据傅立叶积分公式编写，并显示单边，双边谱，对于理解单双边频谱有一定帮助。本程序通过函数与调用来呈现。(Fully understand the Fourier transform, Fourier integral formula directly in accordance with the preparation, and display the unilateral, bilateral spectrum, the spectrum for the understanding of a certain single bilateral help. This procedure with the call to a function.)

偏微分方程：matlab实现林石算子扩散去噪算法 (Lin Shi operator to achieve diffusion filtering)

使用泰勒算法设计的具有抑制旁瓣功能的雷达方向图(Using Taylor algorithm design direction of the radar chart)

井下通信时的链路预算，包括误码率和信道容量的仿真。(Underground communication link budget, including the BER and channel capacity in the simulation.)