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使用matlab软件编写的用于计算激波角的程序，简单、易懂、好用！(Written matlab software program used to calculate the shock angle, simple, easy to understand, easy to use!)

matlab非常全的编程实例，代码丰富，初学者的佳品(matlab very wide programming examples, code-rich, beginners Jiapin)

采用小波变换对采集的原始信号进行去噪，并显示图像(Collected with the wavelet transform of the original signal denoising)

生物医学数据分析及其matlab实现（源码与PPT),包含回归分析，时间序列分析，主成分分析，判别分析等(Biomedicine data anlysis with matlab cod)

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：  用于求解线性规划、整数规划、非线性规划、混合规划等标准优化问题以及LMI(For solving standard optimization problems such as linear programming, integer programming, non-linear programming, mixed programming and LMI)

说明：  马氏距离法剔除异常数据的matlab代码(Matlab code of removing abnormal data by Mahalanobis distance method)

Support Vector Machine

1-D Shaw Problems: Finds the Tikhonov regularized solutions (L = I) for a variety of choices for alpha and generates a waterfall plot of the results

产生AMI码,并求其功率谱密度和时域波形。 (AMI generated code, and for its power spectral density and time-domain waveform.)