EasterDay

mefig212 function for wavelet analysis

Matlab code of Tone Reservation Via Clipping.

一份经典的希尔伯特黄变换的参考资料，希望对大家有用(very usefull for your learning)

This function finds the forward kinematics of the RA-01 Robotic Arm made by Images SI, Inc. The RA-01 has five degrees of freedom. This funciton outputs two vectors. The first vector is the forward kinematics of the central position of the end effector, while the second vector is the forward kinematics of a finger of the end effector (a gripper). Note that it does not matter which finger it is as the position of one finger is simply the negative of the other hence, the value gotten for the y-direction is actually "plus or minus y".

说明：  Matlab实现的图像配准程序，运用互信息，PSO等进行了优化。 (Matlab to achieve image registration procedures, the use of mutual information, PSO, etc. were optimized.)

级联故障和拥塞控制及在无标度网络上的传播(Cascading failure and congestion control and spreading in scale-free networks.)

support for dynamic reconfiguration (including PCI Hotplug and Dynamic Logical Partitioning on RPA platforms).

主要介绍matlab程序下动态数据的采集(Matlab program introduced under the dynamic data collection)

模式分类的matlab程序，十二五规划模式识别导论教材答案( Pattern classification matlab procedures, Twelfth Five Year Plan Introduction textbook answer pattern recognition)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )