matlab

很炫的抽屉式侧边栏导航效果，精选ios编程学习源码，很好的参考资料。(Drawer type sidebar navigation effect of cool, selection of learning IOS programming source code, a good reference.)

说明：  经验模式分解EMD方法。可用于数据挖掘中的很多领域(EMD method of empirical mode decomposition. Can be used for data mining in many areas)

说明：  基于小波变换的jpeg图像压缩编码算法的MATLAB实现(small wave transportation)

matlab基础程序——微积分和微分方程，适合初学者(matlab-based program- calculus and differential equations, suitable for beginners)

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 )

Matlab环境里构建了仿真模型来模拟实际的接收环境和复现阵列接收到的信号,对均匀线阵和圆阵都做了仿真(Matlab environment to construct the simulation model to simulate the actual wireless environment and reproduction array received signal, the uniform linear array and circular array are simulated)

Genetic Algorithm & Direct Search using Matlab.pdf

说明：  通过矢量积的方式计算6R自由度机器人的雅可比矩阵。通过Matlab的脚本文件，将机器人的DH参数写在脚本开始出，修改此处可以修改机器人参数。(The Jacobi matrix of 6R degree of freedom robot is calculated by vector product. Through the Matlab script file, the robot's DH parameter is written on the script to start out, modify here, you can modify the robot parameters.)

matlab编写的DCT域数字水印，适合初学者学习借鉴(DCT Watermarking by matlab)

基于离散余弦变换的数字水印提取嵌入技术应用(Based on the discrete cosine transform digital watermark embedding technology to extract)