Vumat-Hashin-Failure-criterion

说明：  用MATLAB编程实现OFDM调制，使用了FFT和IFFT方法(Programming with MATLAB realize OFDM modulation, the use of FFT and IFFT methods)

说明：  神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例(Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input vector to solve more complex classification problems, based on the perceptron neural network to deal with complex classification problems, numerical analysis matlab-GUI, using BP network function source approximation, self-organizing feature map application)

粒子群算法优化多峰函数，对初学者而言是很有帮助的一个东东，希望大家能够喜欢(Particle swarm optimization multimodal function, it is helpful for a beginner stuff, hope you will enjoy)

Circuit Analysis II with MATLAB - Steven T. Karris

this is new approach for fuel cell control.it is really helpfull.

对于一维波的压缩感知重构算法，使用OMP算法，重构效果良好，供参考 (For the one-dimensional wave of compressed sensing reconstruction algorithm, using OMP algorithm to reconstruct the effect is good, for reference)

关于MATLAB与双馈风机接口计算智能算法(About MATLAB and DFIG computational intelligence algorithms Interface)

this is a source code about leach

根据切比雪夫近似得到的计算简正波的程序，能够较精确获得本地简正波(A Matlab code for computing normal modes based on Chebyshev approximations )

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) ( LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) )