abc_model

周期图法进行功率谱估计的函数，配套张旭东的课本习题(Periodogram power spectrum estimate of function, supporting the Textbook Exercise Zhang)

说明：  这是一个高速公路仿真模型。该仿真模型可以在matlab中以命令行形式或者图形界面形式进行。(CTMSIM is an interactive freeway traffic macrosimulator for MATLAB. It is based on the Asymmetric Cell Transmission Model (ACTM) and allows user-pluggable ramp flow and ramp queue controllers. Its output can be directly compared with PeMS data .CTMSIM operates both in graphical (interactive) mode and command line (batch) mode.)

常见的熵值计算的matlab 程序统计 样本熵 模糊熵 排列熵 多尺度熵 层次熵等(SampleEntorpy FuzzyEntropy PermutationEntropy HierarchicalEntropy)

一个很有用的clustering工具箱,用于数据聚类分析(Clustering a useful tool for data clustering analysis)

说明：  本程序利用平均周期图法（bartlett法）对信号进行功率谱估计，指定输入响应信号，根据实际情况调整参数，输出功率谱图(The program uses the average periodogram method (bartlett method) on the signal power spectrum estimation, specify the input response signal, adjust the parameters according to actual situation, the output power spectrum)

高斯消元法LU分解龙贝格OLS等matlab程序(Gaussian elimination LU decomposition matlab procedures, such as Romberg OLS)

matlab绘图使用大全，包含了几乎所有的matlab绘图方法，调整参数，包涵众多范例。(matlab graphics using Guinness, contains almost all of the drawing method matlab, adjust the parameters, includes numerous examples.)

说明：  遗传算法 多目标优化算法，SPEA2 主要流程：1：首先初始化一个archive的集合P1，以及一个常用的population的集合P。设置P1的大小是N1，P的大小是N。初始的时候P1是空的，而P是已经初始化好的种群个体。 2：对P1进行评价，选出来里面的pareto front为1（下面用PF1来代替了）的个体，copy到P1中，如果PF1的数量大于N1的话，这个接下来再说，目前假定PF1的数量小于N1。(Genetic algorithm, multi-objective optimization algorithm, SPEA2 Main process: 1: first, initialize a set P1 of archive and a set P of popular. Set P1 to N1 and P to n. At the beginning, P1 is empty, and P is the initialized population. 2: Evaluate P1, select the individual whose Pareto front is 1 (Pf1 is used to replace it below), copy to P1, if the number of Pf1 is greater than N1, then let's talk about it. At present, it is assumed that the number of Pf1 is less than N1.)

雷达截面积————————椭圆柱的后向散射RCS(backscattering RCS of Elliptical )

Kalman Filter programmation