vetor_esprit

matlab例程，非常好用，便以移植,bianyuxuxi(susan Algorithm is very easy to use, then to transplant)

turbo encoding and decoding using matlab

有两种方法可以向脚本节点中输入 MATLAB脚本。 ( 1)使用 Operating 或Labeling 工具直接向MATLAB 脚本节点中输入脚本 （2）可以直接导入写好了的脚本 ,方法是使用鼠标右健单击 MATLAB 脚本节点,从快捷菜单中选Import,从打开的 Choose a script 选择脚本对话框中选择要导入的文件并单击 Open, MATLAB 脚本文本将出现在脚本节点中。为了便于调试 ,建议在导入脚本到 LabVIEW 之前 ,先在 MATLAB 环境内编写并运行。 (Continuous and discrete systems. The system that all its variables are continuous functions of time is called continuous-variable or analog system the describing equations are differential equations. )

基于均匀圆形麦克风阵列模型的延时-求和波束赋形成(Delay-Sum Beamforming based on the uniform circular microphone array model)

严格按书上传统原子库的MP稀疏分解~~~~~~~~~~~~(In strict accordance with the traditional book MP sparse decomposition atomic library)

传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results. The warp-kmeans clustering algorithm can effectively deal with the clustering problem of time series, and the complexity is low, and the number of iterations is less. The output has the value of the target function after each iteration, the clustering center and the clustering interval. There are test data and related documents, click test.m can be perfect operation.)

说明：  计算故障分类的每个属性的信息熵，选取最大的作为根节点(For fault classification information entropy of each attribute, select the largest as the root)

线性系统的时域分析法,涵盖各方面内容（包括稳定性分析）(The time-domain analysis of the linear system, covering all aspects of content (including stability analysis))

卡尔曼滤波的理解，利用一个简单的正弦信号来进行卡尔曼滤波，从而更好的理解卡尔曼滤波。(Understanding of the Kalman filter, with a simple sinusoidal signal to the Kalman filter so as to better understand the Kalman filter.)

使用MATLAB编程，求非线性方程组的根。本例为三个参数的非线性方程组。(Using the MATLAB programming, seeking the roots of nonlinear equations. In this case, there are three parameters.)