SVM-KMtoolbox

说明：  基于MATLAB的电子耳蜗算法的研究进展(MATLAB-based algorithm Cochlear Implant Research)

MATLABd得一些算法 10个经典的算法 一起学习啦(MATLABd have some classic algorithm 10 algorithms to learn啦)

说明：  利用最小熵法球时间延迟，可以用在TDOA定位中(The ball by the time delay of minimum entropy method can be used in TDOA positioning)

matlab的ct与mri图像融合，以及图片处理等，还有各种资料图片(ct and mri matlab image fusion, and image processing, as well as various profile picture)

说明：  光伏并网模型，可实现光伏逆变器并网仿真模拟，获取仿真波形，可用于故障分析等(Photovoltaic grid-connected model can realize grid-connected photovoltaic inverter simulation, obtain simulation waveform, can be used for fault analysis)

基于知识的恒虚警检测——KB-CFAR检测器：包括对于无目标、仅有噪声的信号进行KB-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的KB算法仿真。一些程序主要是为了绘图，画出KB-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算KB-CFAR检测过程中的检测概率和虚警概率。(KB-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using KB-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of KB-CFAR algorithm.)

类似与wndtars的国产软件，功能独特(similar wndtars with the homemade software, a unique function)

Induction machine Rotoric fault

说明：  WLS的电力系统状态估计，能够迅速完成节点迭代(WLS state estimation of power system that can quickly complete node iterator)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。(Four clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several indicators.)