7941969VCandMatlab

本程序旨在于解决用遗传算法解决多目标优化问题，同时加深对简单遗传算法的了解并进一步理解(The program aims to use genetic algorithm to solve multi-objective optimization problems, while deepening the understanding of the simple genetic algorithm and further understanding of)

最近邻插值算法matlab实现，内含程序和说明，非常详细(The implementation of the nearest neighbor interpolation algorithm matlab)

信号与信息处理——阵列信号处理DOA估计的matlab算法，这是线性调频信号的稀疏分解的另一种算法源码(Signal and information processing- array signal processing matlab algorithm for DOA estimation, which is a linear FM signal another sparse decomposition algorithm source code)

模式识别中常用的算法，有感知机算法，支撑矢量机算法和LS算法，并附有实验报告，源程序！(Commonly used pattern recognition algorithms, has perceptron algorithm, support vector machine algorithm and the LS algorithm, along with lab reports, source code!)

Generates a sample for an arima model

全称为Ensemble Empirical Mode Decomposition (集合经验模分解)(Wu and Huang, 2009)，是EMD（经验模分解）(Huang et al. 1998 Huang and Wu, 2008)的改进算法，有效的解决了EMD的混频现象。 (Called the Ensemble Empirical Mode Decomposition (a collection of empirical mode decomposition) (Wu and Huang, 2009), EMD (empirical mode decomposition) (Huang et al 1998 Huang, and Wu, 2008) improved algorithm, the effective solution of EMDmixing phenomenon.)

说明：  基于matlab中的高阶谱分析信号处理工具箱(Matlab-based spectrum of high-end signal processing toolbox)

在matlab中实现直方图均匀化功能的源代码(Achieve histogram equalization function in matlab source code)

Three-phase electric power is a common method of alternating-current electric power generation, transmission, and distribution.[1] It is a type of polyphase system and is the most common method used by electrical grids worldwide to transfer power. It is also used to power large motors and other heavy loads. A three-phase system is usually more economical than an equivalent single-phase or two-phase system at the same voltage because it uses less conductor material to transmit electrical power.[2] The three-phase system was independently invented by Galileo Ferraris, Mikhail Dolivo-Dobrovolsky and Nikola Tesla in the late 1880s.

主要实现对数据的分类验证，判断其性能，并画出灵敏度和特异度曲线(It mainly implements the classification and verification of the data, determines its performance, and draws the sensitivity and specificity curve)