PLSPRED

基于matlab的声纳基阵接收波束形成，主要是水平面波束形成(Based on the Sonar Array matlab beamforming receiver is mainly horizontal beamforming)

thresholding techniques

BP源代码共享！希望对大家有帮助今天编了个预测程序，效果不是很好，但里面一些基本算法希望给刚学的人有所帮助！同时也希望高人帮忙指点一下，我这个程序要怎么样预测效果才会好点，谢谢！(BP to share the source code! Hope everyone has to help today编了个prediction procedure, the effect is not very good, but inside some of the basic algorithm would like to just help people to learn! At the same time also hope that an expert advice to help you, I like this process to predict how the effect will be a good point, thank you!)

风力发电系统中的风速仿真模型，MATLAB/S函数构造(wind power system simulation model of the wind, MATLAB/S structure function)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

说明：  modem.qammod对象实现M-QAM调制器，本示例中M为16。其输入参数是从0到15的整数而不是4bits二进制数据。因此，在利用此对象的modulate方法之前需要对二进制数据序列x进行预处理。特别地, 先采用MATLAB中的reshape函数将x沿着矩阵的行方向重新整理成每行4bit数据，然后应用bi2de函数将4bit数据转换成相应的整数。(modem.qammod object implements M-QAM modulator M in this example is 16. Input parameter is an integer from 0 to 15 instead of 4bits binary data. Therefore, before using the method of this object needs to modulate the binary data sequence x pretreatment. In particular, the first use of MATLAB reshape function x 4bit rearranged into each row of data in the row direction of the matrix, and then apply bi2de 4bit function to convert the data into the corresponding integer.)

This code is related to the course Digital Communications. It easily reproduces the error probability as a function of the SNR per bit for QPSK and 16-QAM systems using MATLAB

k mean for clustering in the matlab.cluster do in environment 3-dimontional.

Dijkstra最短路算法,用于求从起始点s到其它各点的最短路.可以应用到不同领域.(Dijkstra shortest path algorithm used to find the shortest path from the starting point s to the other points can be applied to different areas.)

说明：  基于SOGI的锁相环设计，可以实现较为准确的相角跟踪(The phase-locked loop design based on sogi can realize more accurate phase angle tracking)