Example6_2

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

基于光谱特征的提取算法，很实用，分类精度高(Based on spectral feature extraction algorithm, very practical, high classification accuracy)

TS-Fuzzy Model模糊系统论文pdf文件以及Matlab code源码，对学习很有帮助。(paper: "Compact TS-Fuzzy Models through Clustering and OLS plus FIS Model Reduction" and Matlab code.)

TD-SCDMA标准的系统仿真，注意运行的时候要一个一个运行，不能换顺序，我觉得写得很好的代码(TD-SCDMA standard for system simulation, a time to pay attention to running a run, can not change the order, I think well-written code)

it is mat lab coding used for image segmentation........................

cryptage chaotique d image binaire dans un milieu aquatique

A 4 bit twisted ring counter is a sequential circuit which produces the following sequence of output values: 0000, 1000, 1100, 1110, 1111, 0111, 0011, 0001 and then repeats. Design a circuit for a 4 bit twisted ring counter that uses four D flip flops. Draw a state transition diagram, a state table and a schematic for your circuit. Design an alternate implementation using just three flip flops and draw a state transition diagram, state table and a schematic for your circuit. If your designs are extended to implement an n bit twisted ring counter, how many flip flops are required using each of the two approaches. In what situations would you prefer the first method? In what situations would you prefer the second?

Addition of AWGN noise using matlab function

求解结构可靠度的程序，大家抓紧时间下载了，谢谢(Solve the structural reliability of the procedure, we seize the time to download, thank you )

基本的MATLAB界面设置,未说到具体M编程和调试(The basic MATLAB interface settings, not when it comes to specific programming and debugging M)