MS3110_EN

此函数中详细介绍了如何现代功率谱估计法中的AR模型来妒忌信号的功率谱；(This function is described in detail how modern power spectrum estimation of AR model to envy the power spectrum of the signal )

说明：  产生一种随机序列的方法,其中可以设置多个峰值(Generate a random sequence, which can set up multiple peaks)

基于BP神经网络对传感器非线性系统进行建模，用的是BP神往网络的工具箱在MATLAB 软件进行仿真！(Based on the BP neural network model of sensor nonlinear systems, with BP charmed network software MATLAB toolbox in simulation! )

Frequency estimation by searching the pure tone frequency with 2-pole filter(Frequency estimation by searching the pur e tone frequency with 2-pole filter)

k-means 算法，可以实现数据的分类输出(k-means 算法，可以实现数据的分类)

This code realize the spcial smooth music algorithm

Local correlation-based fingerprint matching

说明：  为了减少边缘检测中的噪声影响,设计了一种分数阶差分滤波器,给出了该滤波器的原理,分析了此类滤波器的幅频特性.(In order to reduce the effect of the noise in edge detection,a kind of fractional-order difference filters were designed,whose theory was worked out and amplitude-frequency characteristic were analyzed.)

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 kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate 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 metrics.)

VEDIO processing using matlab