boost

田纳西伊斯曼过程SIMULINK仿真模块 来自于经典文献(Tennessee Eastman process SIMULINK simulation module from the classic literature)

说明：  interp1 - 一元函数插值 spline - 样条插值 polyfit - 多项式插值或拟合 lsqnonlin - 最小二乘法 lsqcurvefit - 最小二乘拟合 csape - 各种边界条件的样条插值 csaps - 样条拟合 interp2 - 二元函数插值 griddata - 不规则数据的二元函数插值 *lagrange - 拉格朗日插值法 方程求根 inv - 逆矩阵 eig - 特征值和特征向量 roots - 多项式的根 fzero - 一元函数零点 fsolve - 非线性方程组 solve - 符号方程解 *newton - 牛顿迭代法解非线性方程 *spgs - 大型稀疏方程组Gauss-Seidel迭代 微积分和微分方程 diff - 数值差分 diff - 符号导函数(Interp1 - unary function interpolation)

该程序可以计算出混沌系统的李亚普诺夫指数，根据其大小，判断其状态(The program can calculate the Lyapunov index chaotic system, according to their size, to determine its status)

arx sysytem with white noise

Calculates SER in 64PSK,64QAM modulation technique and produces graphical figures for diversity order up to eight,rayleigh channel,bessel first order

极限学习机极速学习机\ELM 稀疏表示人脸识别稀疏表示\L0范数求解L1范数ELM神经网络AR人脸数据库基于ELM的图像分类与稳健回归算法研究基于ELM与稀疏表示的混合人脸识别算法 AR人脸识别准确率0.95. 文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Matlab codes of the following paper: Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)

matlab的潮流计算程序，复制到代码区即可使用(load flow calculation of matlab)

matlab调用c程序经典实例,详细注释了接口函数和参数的意义功能，并以实例的形式完成matlab对c程序的调用(a classic example of matlab calling C source codes)

一种经典的matlab齿轮损伤数据bp损伤识别，有齿轮故障数据(A classic matlab gear damage data bp damage identification, with gear failure data.)

Shannon-Fano implementation in C++