OFDMcode

时频窗口选取并计算，有效选择时频窗口。对初学者有用(yields a window of length N with a given shape)

Matlab System tools Mimo Tool Box(Matlab System tools Mimo Tool Box)

信号与系统中的音乐合成实验，用matlab合成的曲子。(Signals and Systems in music synthesis experiments using matlab synthesized music.)

IEEE papers on Renewable Energy in DEC 2014

说明：  利用马尔可夫决策过程求解动态规划问题，希望对大家有所帮助了(Using Markov Decision Process to Solve Dynamic Programming Problem, I hope it will be helpful to all of you.)

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.)

成功实现3维FDTD的算法，算法简洁明了(Successful implementation of the three-dimensional FDTD algorithm is simple and clear)

this file changes a binary number format to decimal format.

粒子滤波的程序，经过调试的 能够正常使用，个人感觉还不错。(Particle filter procedures, after debugging. To normal use, personal feeling pretty good.)

matlab code for chapter 5 in contemporary communication using matlab