matlab_GUI_serialport

程序实现用牛顿－拉夫逊迭代法进行潮流计算。不仅有潮流计算，还有数据处理的程序(Procedure using the Newton- Raphson iterative method for flow calculation. Not only power flow calculation, as well as data-processing procedures)

详细介绍了MATLAB里的命令名及其实现功能，可以为学习者提供一定的帮助(Described in detail in the MATLAB command name and the realization of functions, can provide some help learners)

BER performance in flat fading channels using bpsk modulation

说明：  灰度共生矩阵MATLAB实现 联合概率矩阵法是对图像的所有像素进行统计调查，以便描述其灰度分布的一种方法。(Gray symbiotic matrix MATLAB joint probability matrix of all the pixel image survey was conducted to describe the distribution of a gray-scale approach. )

说明：  16PSK系统仿真，m文件程序分析了系统的误码率，作出了仿真误码率曲线，与理论误码率曲线进行比较感觉不错。(16PSK system simulation, m file program analysis of the BER, bit error rate curve to the simulation, and compare theoretical BER curves feel good.)

针对20个已知类别数据，前15个训练样本和带刺的5个样本，通过该程序可识别出待测的样本属于哪一类。(Data for the 20 known types, the first 15 training samples and barbed 5 samples can be identified by the program which type of samples tested.)

最大似然检测的相关程序，用于单用户MIMO，初学编程(Maximum likelihood detection procedures for single-user MIMO, novice programming)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

说明：  这是本人在学习过程中自行学习编写的《优化阵列信号处理》中第四章的例题程序，有需要的下。(This is the example program in Chapter 4 of "optimized array signal processing" which I learned and compiled by myself in the learning process.)

说明：  matlab小波分解,提取改变系数再重构(matlab wavelet decomposition, extraction to change the coefficient of re-reconstruction)