EMD

关于PID控制的整定方法，采用遗传算法。(Tuning of PID control method, using genetic algorithms.)

本子程序包含5个子程序，其主要功能是： （1） 子程序CXCY（E，L，IE，JE）的功能 用于计算各单元的杆件的长度及在结构坐标系中的倾角α的三角函数cosα、sinα。 （2） 子程序ELEA（E，L，IE，JE，A）的功能 用于计算结构坐标系下各单元刚度矩阵中的刚度系数。 （3） 子程序TOTAL（E，LNODE，KE，KZ）的功能 用于形成半带宽的结构原始刚度矩阵。 （4） 子程序FIFX（NP，FXI，FXJ，FYI，FYJ，MMI，MMJ，WL，IE，JE）的功能 它是用来计算各单元的等效节点荷载。 （5） 子程序STIFF（E，KE）的功能 (Book program consists of five sub-programs, and its main functions are: (1) subroutine CXCY (E, L, IE, JE) function The unit used to calculate the length of the bar and in the structure coordinates of the angle α of the trigonometric functions cosα, sinα. (2) subroutine ELEA (E, L, IE, JE, A) function Coordinate system used to calculate the structure of the element stiffness matrix stiffness. (3) subroutine TOTAL (E, LNODE, KE, KZ) function Used to form the structure of semi-bandwidth of the original stiffness matrix. (4) subroutine FIFX (NP, FXI, FXJ, FYI, FYJ, MMI, MMJ, WL, IE, JE) function It is used to calculate the equivalent nodal load of each unit. (5) subroutine STIFF (E, KE) function )

统计学插值算法，克里金算法,可用于三维和二位数据的插值运算(dace dace dace dace)

说明：  几个改进EMD算法的matlab代码，包括旋转EMD，间歇EMD。(Several improvements in the EMD algorithm matlab code, including rotating EMD, Intermittent EMD.)

nonlinear secant method

模糊控制的应用，有详细教程、例子和完整程序，可供学习借鉴。(The application of the fuzzy control, a detailed example and complete curriculum, program, to learn from. )

The early detection of arrhythmia is very important for the cardiac patients. This is done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different types of arrhythmias. In this paper, we present three different algorithms of features extraction: Fourier transform (FFT), Autoregressive modeling (AR), and Principal Component Analysis (PCA). The used classifier will be Artificial Neural Networks (ANN). We observed that the system that depends on the PCA features give the highest accuracy. The proposed techniques deal with the whole 3 second intervals of the training and testing data. We reached the accuracy of 92.7083 compared to 84.4 for the reference that work on a similar data.

GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤 1）修改设计变量个数 NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。 2）修改设计变量的上下限 VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。 3）修改FunName 变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。 4）修改最大迭代次数MaxIterations 要根据自己的问题实际，通过试算找出合适的MaxIterations数。 如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！ (GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can)

利用单元平均CFAR门限以及单元平均选大CFAR来实现信号的频谱搜索(Using cell average CFAR threshold and average unit chosen CFAR to realize the signal spectrum search )

MATLAB 关于cie的一些程序，对于初学者来说有点用(MATLAB on cie number of procedures, some use for beginners)