16QAM

在对一组离散数据点进行拟合时，我们采用最小距离拟合来达到拟合的函数与原数据达到最优拟合(In a group of discrete data points to fit, we use minimum distance fit to achieve the fit function to achieve optimal fit with the original data )

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

MATLAB finite element code

matlab image process

pv cell modeling documentaion

利用GVF算法实现医学图像的分割，十分有用处(Using GVF algorithm to realize medical image segmentation Very useful )

基于matlab环境下的 绘制彩色玫瑰花的小程序 效果还是不错的 建议大家下载测试(Matlab environment based on the rose colored drawing or a good small program effects suggest that you download the test)

function exp85 clear all p=[0:0.1:1.1] t=[22.4570 26.6012 12.6416 5.9367 6.9265 28.2432 31.5068 37.0166 7.8947 1.0398 12.7095] net=newff([0 1],[5 1],{ tansig purelin }, traingdx , learngdm ) net.trainParam.epochs=2500 net.trainParam.goal=0.001 net.trainParam.show=50 net=train(net,p,t) r=sim(net,p) plot(p,t,p,r, * ) y=sim(net,[1.2])

supermarket的一部分源代码一部分源代码(super market)

MULTIAGENTS 4 AGENTS, FORMATION PROBLEM