16QAM

利用留一交叉法计算数据的准确性。是处理小样本问题常用的方法之一，(Leave a calculated use of cross-data accuracy. One common method of dealing with small sample size problem,)

用于电力系统的潮流计算和无功优化程序，考虑风光接入配电网潮流计算。(Flow calculation for power system and reactive power optimization program, taking scenery access to distribution power flow calculation.)

说明：  可在matlab中运行，是通过matlab读取视频的有效软件(Run in matlab, matlab read through the effective video software)

基于plc的电流保护计算,配电网安全肯故障检测分析.(Calculated based plc s current protection.Distribution Network security is willing to fault detection analysis.)

The sourcecode of Universally-Convergent Squared-Operator Iteration Methods for fig5 using SOM

All about the digital modulations ASK, FSK, QPSK

将core.txt文件放在C盘根目录下,然后打开matlab，点击“文件”-“打开”选中main.m文件，“运行”这个文件。 命令窗口马上就会显示出运行结果。 mm_Red.m为封装的盲目约简算法.返回值为约简结果. sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果. bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果. cal_sig为封装的求属性重要度的函数。 max_min为封装的求属性度最大，划分个数最小的属性的函数。 dele_max为封装的删除属性度最大，划分个数最小的属性的函数。 mycore.m为封装的求核函数. myind为封装的求划分的函数. ind_E_a为求每个属性的划分的函数.(Files on the core.txt to the C root directory, then open matlab, click on " File" - " Open" main.m file is selected, " Run this file. The command window is displayed immediately run results. mm_Red.m the package blindly reduction algorithm. return value reduction results. sxzyd_Red degree reduction algorithm based on attributes important to package the return value is the result of the reduction. bsjz_Red matrix reduction algorithm for the identification of the package. return value identification matrix and reduction results. cal_sig package attribute importance to the function. max_min demand for the package attribute degrees largest division of the function of the minimum number of attributes. delete attribute degrees dele_max package is the largest division of the function of the minimum number of attributes. mycore.m seeking nuclear function package. myind package and by function. ind_E_a for the sake of each attribute divided function.)

try this for pq improvmnett

blind equalization for adaptive filtering

本算例是一个简单有效，可以直接进行的Neural-Gas 竞争学习聚类算法(his implementation aims to be simple and direct. More powerful implementations of the Neural-Gas Competitive Learning Algorithms )