period_mean_fft

指纹特征识别 提取出指纹分叉点和端点，作为后期特征提取的准备(fingerprint identification)

卡尔曼滤波器进行信道估计的一篇文章，适用于OFDM-MIMO系统。(Kalman filter for channel estimation in an article for OFDM-MIMO systems.)

fmincon finds a constrained minimum of a function of several variables. fmincon attempts to solve problems of the form: min F(X) subject to: A*X <= B, Aeq*X = Beq (linear constraints) X C(X) <= 0, Ceq(X) = 0 (nonlinear constraints) LB <= X <= UB (bounds)

MATLAB程序之数值微分经典算法源码MATLAB program of the source numerical differential classical algorithm(MATLAB program for numerical differential classical algorithm source MATLAB program of the source numerical differential classical algorithm)

代码为对OFDM符号信道估计结果进行线性插值的仿真代码(Code symbols for the OFDM channel estimation results of linear interpolation of the simulation code)

说明：  信号实验常用的simulink模型和mfile,可直接在matlan下运行。(Simulink signals commonly used in experimental models and mfile, can be run directly in matlan.)

Video retrieval from camera in matlab and filtering using Median filtering

关于MATLAB中S函数的编写指导，内容非常详细。(On the preparation of MATLAB S function guide, the content is very detailed)

bunching simulink in matlam for fuzzy systems

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.)