publication_26

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)

说明：  matlab的学习教程，ppt格式，直接查看(matlab ppt)

This MATLAB .m file takes a "true" image, and an "observed" image that is the true image that has been noised with uncorrelated Gaussian noise. The function then performs Tikhonov regularization to clean up the defects in the image, with the Tikhonov term used to preserve image edges as much as possible.

六相永磁电机dq0建模方法,内含电压方程模块，磁链模块，转矩模块等(modeling sixphase pmsm based on dq0)

光孤子模拟基本程序，要自己设置参数，N P0 gamma等。(Soliton analog basic procedures to set up their own parameters, N P0 gamma and so on.)

使用交叉验证的svm matlab 代码，简单，比较好用(svm classification)

计算光子二维晶体米卡良透镜折射率分布的程序，同时给出米卡良透镜在径向的晶体柱半径分布(Calculated two-dimensional photonic crystal lens refractive index distribution of Mika good program, and gives good Mika crystalline lens in the radial distribution of column radius)

说明：  Full search for MATLAB

duffing 混沌系统仿真，做控制的经常使用这个对象来验证控制性能。(duffing chaotic system simulink)

函数产生线性调频波信号，并画出实虚部和频谱。函数需要输入带宽，时宽和点数(produce LFM signal and figure it oth in tempral field and frequency field)