monica

利用小波去噪的程序，还不错，可以借签一下(Wavelet denoising procedure, not bad)

这是一个生成魔方矩阵的演示程序，学习matlab的可参考(This is a rubik s cube matrix generated demonstration program, learning matlab can be reference)

改进后的高斯信号发生函数，可用于字符运算。(Improved Gaussian signal, can be used for computing characters.)

《高等非线性动力学》-庞克来映射-相轨迹的源程序，怎么利用程序求解并画图(" Higher nonlinear dynamics" - punk to map- phase trajectory of the source, and how to use drawing program for solving)

利用共轭梯度法，追赶法，龙格库塔法来求解问题的源程序，适用于计算方法初学者(The source program of using conjugate gradient method, pursuit method and Runge Kutta method to solve the problem is suitable for beginners of computational methods.)

脚本程序，基础用力中能实用的，有具体含义(Script on the basis of force can be useful in)

关于MATLAB的一个很好的PPT。讲的是符号运算。对于初学者很好。页面也很漂亮。(MATLAB on a good PPT. Talking about the symbolic operation. Good for beginners. Page is also very beautiful.)

matlab中同步电机在dq轴系下的建模，转子绕组短路定子绕组突然加对称电压，无阻尼绕组，自己用S函数编的，很好用的哦，适用于初学(matlab modeling of the synchronous motor in dq shaft under the rotor winding short-circuit the stator winding suddenly and symmetrical voltage damper winding S function series, very well used, suitable for beginners)

数据组合方法研究，该方法是以多项式为基础通过不断筛选组合来辨识非线性系统的模型。该文章详细介绍了该方法的发展及实现步骤。针对该方法中的不足，提出改进措施(Data combination method, the method is based on the polynomial basis through continuous screening combination to identify the model of the nonlinear system. The article describes in detail the development and implementation steps of the method. Deficiencies in the methods, suggest improvements)

用于建模数据分集。计算各样本点的欧式距离，首先将距离最大的两个点放入第一个样本集，接着将余下距离最大的两个点放入第二个样本集，依次计算，将剩余数据点分别放入上述两个样本集。( This algorithm starts by selecting the two points furthest from each other (euclidean distance) and puts them both in a first set. Then the next two points furthest from each other are put in a second set, and the procedure is continued by alternatively placing pairs of points in the first or second set. For calibration applications, the second set can be the test set, and the calibration would be the concatenation of the first set plus the remaining samples.)