sijiachefuheyuce

主要讲述MATLAB经典、常用的命令，并加以举例说明，可读性强！(tell the detail use of classic and common used MATLAB codes)

自适应滤波，用LMS算法做的，供大家参考(Adaptive filter, LMS algorithm used to do, for your reference)

CUM4X用于计算四阶统计量 CUM4X Fourth-order cross-cumulants. (CUM4X used to calculate the fourth-order statistics)

说明：  实现功能： （1）完成简单的加、减、乘、除、乘方（x^y）； （2）能够完成十进制数到二进制和16进制的转化； （3）在上述基础上能够实现存储计算的结果，并能够在后续应用中调出，同时能够实现输错了删除的功能；(Implementation function: (1) Complete simple addition, subtraction, multiplication, division and multiplication (x ^ y); (2) It can complete the conversion from decimal to binary and hexadecimal; (3) on the basis of above, the result of storage calculation can be realized, and it can be transferred in subsequent applications, and at the same time, it can achieve the function of error deletion.)

说明：   数据挖掘中的决策树C4.5算法的实现,用matlab实现(Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve)

matlab环境下进行结构受力变形分析计算的一本不错的参考资料(good and useful)

This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform [12, 10] in two and three dimensions. The first digital transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is based on the wrapping of specially selected Fourier samples. The two implementations essentially differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both digitaltransformations return a table of digital curvelet coefficients indexed by a scale parameter, anorientation parameter, and a spatial location parameter. And both implementations are fast in the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are also invertible, with rapid inversion algorithms of about the same complexity.

将UCI数据转为为libSVM数据格式的matlab代码。包含数据集。(The UCI data into for libSVM data format of matlab code. Contains data set.)

利用有限差分算法实现动力学方程的求解单个球体在环形容器中运动分析(Finite difference algorithm for solving the dynamic equations in a single sphere in the circular movement of the container)

说明：  通过在MATLAB平台上比较BP神经网络的三种训练方法－trainbr traingdm trainlm.并且网络中加入噪音！(through MATLAB platform comparison BP neural network training method for the three-trainbr traingdm trainlm. Network and add noise!)