fangxiangzukangjidianqi

基于希尔伯特黄变换（HHT）的条纹图相位信息提取算法，可以得到变形条纹图的相位信息，可用于三维重建领域。(Based on the Hilbert-Huang Transform (HHT) phase information extraction algorithm, the phase information of the deformed fringe can be obtained, which can be used in the field of 3D reconstruction.)

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)

这是自己用MATLAB写的角点检测源程序，非常简单，效果良好(This is written using MATLAB corner detection source, very simple and effective)

电子信息工程专业课程设计报告，用matlab实现m序列发生器(Electronic and Information Engineering curriculum design, implementation using matlab m-sequence generator)

 Bootstrap is a data based simulation method for statistical inference. The basic idea of bootstrap is to use the sample data to compute a statistic and to estimate its sampling distribution, without any model assumption. Many technics are described with some examples in matlab.

说明：  MIMO通信系统中两点结构模型下采用ZF准则预编码检测误码率性能的仿真(MIMO communication systems in the two structural model under the rule of using ZF precoding detection bit error rate performance of the simulation )

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.

lms for the simulation, this technique is used in egalization

说明：  parzen窗法，功能是根据样本进行概率密度函数估计。实现了对正态分布概率密度函数和均匀分布双峰概密函数进行估计(Parzen window method, function is based on a sample of the estimated probability density function. The realization of the normal distribution probability density function and uniform distribution Bimodal density function is estimated over)

一本关于龚纯编辑的数学建模MATLAB应用的书，很实用的，不过不是很清晰(Gong edited a book on mathematical modeling of pure MATLAB application book, very practical, but not very clear)