Codes

GMSK信号的循环谱密度程序 对循环谱算法感兴趣者下载(GMSK signal cycle of spectral density of the cyclic spectrum algorithm procedures of interest to those who download)

该程序为matlab环境下程序，主要演示用中位点法生成分形曲面，通过三角形的不断被子分而整个表面弄成皱折，产生类似于山脉的形状——分形山。(The program for the matlab environment procedures, the main demonstration site used in the composition of the Law of Health-shaped surface, through the continuous triangle quilt divide and the entire surface of face wrinkles, resulting in similar to the shape of mountains- Fractal Hill.)

说明：  PUMA560的matlab仿真程序，有工作空间路径规划。(PUMA560 of matlab simulation program, a work space path planning.)

1.地球同步轨道卫星，倾角分别为0，30，90度。 (1 satellites in geosynchronous orbit, respectively 0,30,90 degrees inclination.)

关于matlab的基础教程。展示如何编写简洁高效，有充分根据的程序。(On the basis of matlab tutorial. Shows how to write simple and efficient, well-founded procedures.)

股票数据爬虫，matlab版本，与网上同一类型的区别在于，能够直接运行，有一定的借鉴意义。(Stock data crawler, matlab version, with the same type of difference between online, can run directly, have certain reference significance.)

此matlab例程用于验证离散时间傅里叶变换的调制性质。(Matlab routines used to validate the discrete-time Fourier transform the nature of the modulation.)

二维方位角/仰角music算法DOA估计程序，阵元采用均匀园阵(2D azimuth/elevation algorithm music DOA estimation procedures, the element array uniform Park)

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)

一个QAM调制的垂直切换算法，matlab仿真实现的。(A vertical QAM modulation switching algorithm, matlab simulation.)