Demo_CS_OMP

blood vessel extraction

Classification of Cardiac Arrhythmias Using Heart Rate Variability Signal

Matlab codes for random matrix theory.

关于高阶累积量时延估计方法的研究，本代码描述的是三阶累积量，广义相关法，进行了两者性能相关的比较，最终能求得试验估计值，比较出两者的性能。(The cumulative amount of higher order time delay estimation method studies, the code describes the third-order cumulant, generalized correlation method were compared between the two performance-related, the final test estimate can be obtained, to compare the performance of both.)

汉森的matlab程序应用于金融的广义t分布(Hansen s matlab code for finance )

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.)

说明：  Matlab环境下的各种无线系统的仿真例程(Matlab environment a variety of wireless systems simulation routines)

this file is leach protocol on matlab which is a most common algorithm in wsn

积分分离PID控制matlab M文件代码。 该控制里面将积分分离，在控制误差很小时才重新使用积分，这样可获得更好的控制效果。(Integral Separation PID control matlab M file code. The control inside the integral separation, re-use integral control error is very small when, so to get better control effect.)

MATLAB PID Tunning using Genetic Algorithms