SRM

读取NMEA0183格式，适合做卫星导航读取数据参考，可以用于科研。(Read the NMEA0183 format, suitable for satellite navigation read data reference, can be used in scientific research.)

说明：  包括各种图形图像处理的理论原理和软件方面的材料，提供可用现代软件工具实现图像处理的基础。(Including the theoretical principles of graphic image processing and software materials, to provide modern software tools available to achieve the basis for image processing.)

通过邻接矩阵，计算网络的聚类系数。聚类系数是复杂网络中一个重要参量。 (Through the adjacency matrix, computing networks, clustering coefficient. Clustering coefficient is a complex network, an important parameter.)

平面拟合程序，可进行多点的平面拟合~简便易懂(Plane fitting procedure, the plane can be fitted more easily understood ~)

medicin image signal

这个是数学形态学在Matlab中对于数字图像处理的应用的一些指导性的意见。希望大家能喜欢。(This is a mathematical morphology in Matlab for digital image processing of the guiding opinions. Hope that we can like.)

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 )

圆震波束形成程序，经检验的。放心十吧！！！共同分享(Chun-yen beamforming procedure, by testing. Rest assured it ten! ! ! Share)

说明：  二维TM波的FDTD算法，激励为高斯脉冲(Two-dimensional TM wave FDTD algorithm for the Gaussian pulse excitation)

MATLAB中生成随机圆的源代码以及截图 非常好 程序简短(The generation of random circle code)