yichuanheliziqun

README file for Yashil s FCM Clustering MATLAB (Y_FCMC) Toolbox Ver. 1.04 ------------------------------------------------------------------------- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf_FPCMC1.m 4. Maximum Entropy Principle-based Fuzzy Clustering (MEP-FC) => Yf_MEPFC1.m

说明：  基于MATLAB的源SVM程序包，请试用(based on MATLAB source SVM package, please try)

特征提取提取了图像中各个标记区域的纹理特征及形状特征(Feature extraction to extract texture features and shape features of each labeled region in the image )

结构拓扑优化--------------------------------------------(Topology optimization--------------------------------------------)

运用matlab软件，进行回归运算，方便快捷(Use matlab software, regression calculation, convenient)

MATLAB从入门到精通书中第五章例子的程序(MATLAB from the entry to the master' s program book chapter examples)

this mfile is a code for simulation rice fading channels versus snr.

利用Matlab仿真软件，完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号，映射到16QAM的星座图上，同时一路信号已经被分成了实部和虚部，后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器，再加入高斯白噪声，然后通过匹配滤波器（平方根升余弦滤波器）。最后经过采样，判决，得到0、1信号，同原信号进行比较，给出16QAM数字系统的误码。(Using Matlab simulation software, as shown in Figure 1 to complete a basic digital communications systems. Signal source such as arise over the distribution of 0,1 random signal, is mapped to 16QAM constellation diagram, at the same time all the way the signal has been divided into real and imaginary parts, behind the deal with the establishment of these two signals in the basis. Real part, imaginary part of the signal, respectively, after a square root raised cosine filter, then add white Gaussian noise, and then through the matched filter (square root raised cosine filter). Finally, after sampling, the verdict has been 0,1 signal, to compare with the original signal is given 16QAM digital system error.)

基于雷达信号处理的仿真实现实现，是一个和前任研究不同的代码。(Radar signal processing based on the implementation of the simulation implementation, is a former research and different codes.)

This example demonstrates how to use the backend service in Google-App-Engine. 1. Change name of application in app.yml and firstmodule.yaml to the name of you application 2. Upload the files 3. Open the main page