chaos-toolbox

形状特征的七个不变矩，用matlab实现(Shape characteristics of the seven moment invariants, using matlab to achieve)

1、分别生成两种信号（正弦波、方波、三角波、锯齿波、Sinc波形等）+噪声（高斯随机噪声、均匀噪声） 要求：频率：学号*100； 幅度：学号/10 相位：学号*pi/180 点数：学号*64 2、同时在一个图形中进行显示： 要求：标注X轴、Y轴、题目、颜色、样式、线型标注等。 3、进行信号分析及结果显示（对结果也要图形标注，同2） 要求：相关分析 卷积运算 求和运算 频谱分析（最大值、测频） 4、对上述原信号及信号分析结果分别存成EXCEL文件、文本文件和二进制文件，命名为名字+班级+学号+后缀(1, respectively, to generate two signals (sine wave, square wave, triangle wave, sawtooth wave, Sinc waveform, etc.)+ noise (Gaussian random noise, uniform noise) requirements: Frequency: No.* 100 margin: Student ID/10 phase: learning* pi/180 Points: No.* 642, in a graphical display: Requirements: X-axis label, Y axis, the title, color, style, linear marked. 3, signal analysis and results display (graphical results also marked with 2) requirements: analysis convolution summation spectrum analysis (maximum frequency measurement) 4, the original signal and the signal analysis results were kept into EXCEL files, text files and binary files, named for Name the+ class++ suffix number)

说明：  层次分析法是对一些较复杂、较模糊的问题作出决策的简易方法，它特别适用于那些难于完全定量分析的问题。 层次分析法是一种将决策者对复杂系统的决策思维过程模型化、数量化的过程。应用这种方法，决策者通过将复杂问题分解为若干层次和若干因素，在各因素之间进行简单的比较和计算，就可以得出不同方案的权重，为最佳方案的选择提供依据，因此层次分析法常应用分析评价定性量化问题。(Analytic Hierarchy Process is an easy way for some of the more complex, the more obscure the issue of decision-making, it is particularly difficult for those who complete quantitative analysis of the problem. Analytic Hierarchy Process is a method of decision-makers of complex systems thinking process modeling, quantitative process. Application of this method, decision makers through the complex problem into several levels and a number of factors, among the factors that make simple comparisons and calculations, different scenarios can be drawn on the right weight, provide the basis for selecting the best solution, so Analytic Hierarchy Process is often used to quantify the problem of qualitative analysis and uation.)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

盲源分离EASI算法，一种简单的盲源分离算法，容易实现(Blind source separation of EASI)

基于元胞自动机(CA)法的晶粒生长模型， 元胞自动机的基本思想 (Based on Cellular Automata (CA) Law grain growth model, cellular automata basic idea)

说明：  声 线 跟 踪 计 算 程 序，raytrace,

Simulation of single phase fully controlled rectifier

Reliability Assessment With Dc Load Flow

模糊PID控制程序，制定了模糊规则，pid控制更加精，在经典PID控制基础上加上模糊控制，是控制速度更快 (Fuzzy PID control procedures, developed a fuzzy rule, pid control is more refined, based on the classic PID control plus fuzzy control, control faster)