example

MCMC多目标仅角跟踪程序，可以在杂波环境下工作(MCMC only multi-target angle tracking program, you can work in cluttered environment)

如果对通信系统的同步或者频偏感兴趣的话，这将是一个很好的学习代码，我花了很长时间写的(Communication system synchronization or frequency offset of interest, this will be a good learning code, I spent a long time to write)

This is my Master Thesis for Association Rule Mining With Binary Genetic, Enjoy it

K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)

卡尔曼滤波器的三种设计方法，在信号估计中有很好的表现，都调试通过了。(Three Kalman filter design, signal estimation in a good performance, all debugging adopted.)

matalb图像处理基础源代码，整理版，可以实图像变换的一些基本功能(matalb based image processing source code, finishing version, you can actually change some of the basic functions of image)

CP-OFDM的MATLAB源代码，简洁明了，非常适合初学入门者(CP-OFDM MATLAB source code, concise, very suitable for beginners beginners)

phase space reconstruction for both univarite and multivarite time series

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

NA解TSP,操作环境matlab 附中文注释(program of NA to solve tsp)