Prj1_exp1

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.)

Fingerprint Process in Matlab

说明：  MATLAB数字图像的处理特效 两只猫的膨胀腐蚀(design a program for some specific effect of the 2 cats)

matlab在最优中的应用,是非常好的书哦，对于研究最优化应用的人很有用(use matlab to solve optimization problem)

单交叉口经典模糊控制matlab代码，毕业设计的东西，搞得好辛苦啊(Single Intersection classic fuzzy control matlab code graduation design stuff, good job hard ah)

输电线路双端不同步故障测距程序，matlab的程序，利用两端数据计算故障距离(Two terminal lines are not synchronized fault location procedure, matlab procedures, the use of both ends of the data to calculate the fault distance)

最大熵法与Welch法估计的功率谱的比较。 多信号分类法估计的功率谱。 (Maximum entropy method and Welch' s power spectrum estimation comparison. Classification of multi-signal power spectrum estimate.)

m files for SIAM book, Numerical Computing with MATLAB

Reduction in peak to average power ratio in OFDM.

matlb编写的IIR滤波器程序，按照给定指标采用模拟低通滤波器（巴特沃思低通或者切比雪夫低通）去逼近理想模拟低通滤波器 ，然后通过双线性变换法对模拟滤波器进行数字化，得到数字滤波器 。(IIR filter matlb prepared by the procedure, according to set targets and analog low-pass filter (Butterworth low-pass or low-pass Chebyshev) approximation to the ideal analog low-pass filter, and then through the bilinear transformation method for analog filtering device to digitize, the digital filter.)