AlgorytmKruskala

此程序可用于实现基于神经网络的工程性能预测。(this procedure can be used to achieve based on neural network projects performance prediction.)

毕设关于SIFT SUSAN等算子对于图像特征提取的应用，利用Matlab做的(Completed based on the SIFT on SUSAN operator for image feature extraction, using Matlab to do)

说明：  带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助(Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.)

压缩感知中全变分（TV）重构算法，本程序主要用于图像重构(Total variation in the compressed sensing (TV) reconstruction algorithm, this procedure is mainly used for image reconstruction)

地震资料处理，时频分析里的wiggle变换(Seismic data processing, time-frequency analysis in the transform wiggle)

基于压缩感知(应用匹配追踪算法)处理一维信号(MP compressed sensing using matching pursuit)

本程序对同一文本在不同语言版本（英语，德语，芬兰语）下的单词频率进行统计，来检测齐夫定律(Zipf s law)在不同语言下的变化。(This procedure of the same text in different languages ​ ​ (English, German, Finnish) the word frequency statistics, to detect Zipf' s law (Zipf' s law) in different languages ​ ​ under the changes.)

一个matlab的扩展程序包，可以生成、处理海浪数据得到海浪谱、有效波高、周期等一系列海洋信息的程序。对从事海浪方面的工作者非常有帮助，并且附有使用说明书。功能异常强大，有兴趣的自己慢慢研究。(DIrectional WAve SPectra Toolbox Version 1.4 For MATLAB.DIWASP was originally developed at the Coastal Oceanography Group, Centre for Water Research, University of Western Australia, Perth. It is now distributed and maintained by MetOcean Solutions Ltd., New Zealand.)

说明：  压缩传感的几篇硕博士论文，可以帮助新手入门和毕业生写论文(Compressed sensing several Dissertations, and graduates can help beginners write papers)

说明：  实现求圆形、三角形、矩形的面积和周长。要求和说明如下： (一) 定义接口sharp接口 (二) 通过实现接口定义Rect、Triangle、Circle的类，并且一个构造方法，并实现求面积和周长的方法（其中三角形斜边的计算公式c=Math.sqrt (width * width + height * height ) ） (Seeking to achieve circular, triangular, rectangular area and perimeter. Requirements and are described as follows: (a) define the interface sharp interfaces (two) by implementing the interface definition Rect, Triangle, Circle of class and a constructor method, and implement methods for the area and perimeter (where the hypotenuse of the triangle formula c = Math.sqrt (width* width+ height* height) ))