ESPRIT

说明：  遗传算法matlab实现 用遗传算法优化神经网络算法的实现(GA Matlab using genetic algorithms to achieve optimal neural network algorithm implementation)

多目标BCC算法，在电力系统方面的具体应有，可套用( Specific examples of DBCC algorithm)

典型飞机目标的RCS仿真，内容丰富，分析较为仔细(Typical aircraft target RCS simulation, rich in content, more careful analysis)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

tp matlab bien explique et commentee

基本遗传算法解决经典函数优化问题，求解函数极值(The basic function of genetic algorithm optimization)

朴素贝叶斯matlab实现，基于matlab编程(Naive Bayes matlab to achieve, based on the matlab programming)

gmsk modulation with no AWG

根据公汽线路信息数据，编写对任意车站，寻找通过该站的汽车线路的M文件； （3）编写M文件，对任意两个车站m,n，判断是否有线路通过这两车站，若有则编写寻找通过该站的汽车线路的M文件 （4）对任意两个车站m,n，若没有线路直接通过这两车站，编写通过一次转车而到达两站的M文件 (According to the bus line information and data to write on any station to find the M-file line through the station car (3) the preparation of the M-file, any two stations m, n, determine whether the line through these two stations, if write to find the M-file line through the station car (4) any two stations m, n, if there is no line directly through the two stations, the preparation time to change trains to reach the M-file of the two stations)

Code for solving the different functions and equations for the stream function wave theory. The package contains a few different code to solve for the different equations and variables.