nes_user

基于肤色的人脸检测MATLAB源代码皮肤检测的最终目标是构建一个决策规则，并以此将图像中的像素划分为肤色和非肤色两类，一般通过引入一个衡量像素点颜色与“标准肤色”的距离而实现的，该距离是由相应肤色建模的方法决定的(Face detection based on skin color skin detection MATLAB source code for the ultimate goal is to build a decision-making rules, and use of the image pixels into skin and non skin types, usually by introducing a measure of the pixel color with the " standard colors" achieved the distance, the distance of the corresponding color from the decision modeling approach)

MATLAB与VC++的混合编程，讲述了MATLAB与VC++的接口制作方法(MATLAB and VC++ Mixed programming, described the MATLAB and VC++ Interface methods)

K均值聚类算法，里面的wdbc是数据。用matlab写的(K-means clustering algorithm, which is wdbc data. Written by matlab)

有源电力滤波器在产生指令电流时，基于瞬时无功功率的检测方法需要用到低通滤波器，本程序能够实现滑动滤波！(APF generating command current, based on instantaneous reactive power detection methods need to use a low-pass filter, the program can achieve sliding filter!)

IA_LD是用免疫优化算法（immune algorithm）解决物流配送中心选址（Logistics and Distribution）的问题。文件打开后运行IA_LD.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(IA_LD is immune optimization algorithm (immune algorithm) to solve the logistics distribution center location (Logistics and Distribution) problem. Run IA_LD.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

解决排队论中的基本问题，高效实用。改变数据即可实用(Queuing theory to solve the basic problem, efficient and practical. Change data can be useful)

code based on downsampling

几个关于利用傅里叶变换进行谐波分析的代码。有详细的变换过程，比较适合想了解原理的初学者。(Several on the use of Fourier transform for harmonic analysis of the code. The transformation process in detail, more suitable for beginners would like to know the principle.)

一个kalmen filter 的介绍，就是matlab中如何使用kalmen filter(A paper about the introduction of the kalmen filter)

程序对4发4收系统进行V-BLAST检测算法的仿真。发送信号采用QPSK调制，信道为准静态瑞利平坦衰落信道，引入的噪声为均值为0的高斯白噪声，接收端分别采用ZF、MMSE、ZF-OSIC、MMSE-OSIC四种检测算法，根据其误比特率比较性能。(V-BLAST detection algorithm simulation program 4 of 4 admission system. Send signals using QPSK modulation, channel quasi-static Rayleigh flat fading channel, the introduction of noise with mean zero Gaussian white noise receiving end, respectively, ZF, MMSE, ZF-OSIC, MMSE-OSIC four detection algorithm based on its The bit error rate of the comparative performance.)