GSM Matlab

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)

svpwm的SIMULINK仿真模型，好用！(simulink model of svpwm)

LRP Learning Algorithm in Cellular Automata Matlab Code

这是有关MATLAB学习的一些编程技巧和使用的一个程序示例(MATLAB STUDY)

Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

this is the topsis algourithm to solve problems in mcdm madm to improve desicion making and choose best choice.

电离层误差模块，主要依据参数进行误差计算(Ionosphere error module)

Using the Serial Port with a MATLAB

对pam调制的误码率进行理论和仿真对比，用的是蒙特卡罗方法(01:15 modulation of the BER and the theoretical simulations, using the Monte Carlo method)

这个是LBP人脸算法，对学习者有很好的帮助，关于人脸表情识别，这里是基于ORL人脸库。(This is the human face LBP algorithm, the learners have good help, on facial expression recognition, here is based on the ORL database.)