butter_worth

实现了通信中交织和解交织过程，参数可自定义输入(Realize the communication intertwined intertwined reconciliation process, input parameters can be customized)

说明：  Matlab数据统计和分析的程序，包含下面所列的多种算法的 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对样本进行分类 MainAnalysis 对样本进行主成分分析(Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis)

Books for Matlab learning

产生一个三分量地震图，有助于理解近场和远场的波场形态(Helps to understand the the wavefield morphology of the near-field and far-field to generate a three-component seismograms,)

图的 领结表 表示 程序中有较多注释 方便别人读 增加可读性(Map tie the table means that the program has more comments To facilitate others to read to increase readability)

元胞自动机森林模型，matlab仿真代码，非常有参考价值。能成功实现。(Cellular automata forest model, matlab simulation code, very valuable reference. Can be successfully realized.)

求解含有时滞的鲁棒控制问题，并给出了一些数值例子。(time-delay robust control)

说明：  经验模态分解的优化，达到更好的去燥效果。(The optimization of empirical mode decomposition can achieve better drying effect.)

说明：  自适应控制算法的另一个Simulink模型，可运行，是无模型参考控制算法的一个应用实例，供共同学习和交流(Adaptive control algorithm to another Simulink model to run, there is no model reference control algorithm of an application example for the common learning and exchange)

说明：  打点成功的程序段 分享一下，大家互相学习(RBI to share the success of the segment, we learn from each other)