ERRandomGraph

有均匀线阵的CRB曲线，自己编的5种调制信号，用于建立主成分分析模型。( There ULA CRB curve, Own five modulation signal, Principal component analysis model for establishing.)

用matlab编写newmark-B法解结构振动微分方程的程序(Prepared using matlab newmark-B method for solving differential equations of structural vibration program)

根轨迹文件 多刚体动力学 方程 根分布 稳定分析 (Root locus document root distribution multibody dynamics equations stability analysis)

这是几篇关于粒计算在故障诊断中的应用，对学习粒计算的应用很有帮助。(This is a few on Granular Computing in Fault Diagnosis of learning the application of granular computing helpful.)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

计算分维的程序，很好用，可根据需要随意调用(Calculate fractal dimension program, easy to use, can feel free to call)

Gambit用户使用说明书(中文版), Gambit是CFD商用软件Fluent的前处理软件,主要作用是建立网格模型,其功能(Gambit user manual (Chinese version), Gambit is the pre-processing software of CFD commercial software Fluent, the main function is to build grid model, its function)

目前为止最快速的EMD算法，也可作为SIFT匹配的一种方法(So far, the fastest EMD algorithm can also be used as a method of SIFT matching)

说明：  这是用matlab实现的关于傅立叶变换及其反变换的实例.(This is achieved using Matlab on the Fourier transform and its inverse transform example.)

说明：  本书是为理工科大学各专业普遍开设的“数值分析”课程编写的教材 . 其内容包括插值与逼近 ,数值微分与数值积分 , 非线性方程与线性方程组的数值解法 , 矩阵的特征值与特征向量计算 , 常微分方程数值解法 . 每章附有习题并在书末有部分答案 ,书末还附有计算实习题和并行算法简介 . 全书阐述严谨, 脉络分明 ,深入浅出 ,便于教学 .(This book is a textbook for the course of "numerical analysis" which is widely offered in various majors of universities of science and engineering. Its contents include interpolation and approximation, numerical differentiation and numerical integration, numerical solution of non-linear and linear equations, calculation of eigenvalues and eigenvectors of matrices, numerical solution of ordinary differential equations. At the end of the book, there are some answers. At the end of the book, there are also a brief introduction of computational practice questions and parallel algorithms. The whole book elaborates rigorously, clearly, thoroughly and shallowly, which is convenient for teaching.)