QPSK_BER_Es

Simple implementation of DFT/IDFT in matlab

perl program guide ch1

eye tracking with matlab

求解偏微分方程的matlab实现，运行pdee(An example to solve the PDE)

说明：  MATLAB的课件，大学上课老师的课件，是ppt形式的，比较全面。(MATLAB courseware, courseware University of class teachers)

libsvm的最新函数包，包含了各种语言的接口，可方便的实现分类，回归等问题(libsvm package)

可以求解在一般三维场模拟中的椭圆方程（泊松方程）(Three-dimensional Poisson equation can be solved)

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)

vector control of mas

高斯噪声关于频率的最大似然估计,对初学者有很大帮助(Gaussian noise on the frequency of maximum likelihood estimation)