gray-relational-analysis-matlab

image reconstruction using hybrid transform

用matlab语言写的ID3(Quinlan s ID3 classification tree algorithm)算法,用于模式分类(Matlab language used to write the ID3 (Quinlan s ID3 classification tree algorithm) algorithm for pattern classification)

说明：  用matlab编写的采用遗传算法进行图像分割的一个程序(using Matlab prepared using genetic algorithms for image segmentation of a program)

Some simulation code in matlab

计算图像显著性的工具箱：在图像处理领域内应用很广范，是视觉处理领域必不可少的工具。(Calculation of the image toolbox significant: in the field of image processing a wide range of applications, is an indispensable tool for visual processing.)

数值计算，求解函数最优化的一个工具，是一个库函数，(Numerical calculation, to solve the function optimization of a tool, a library function,)

根据对真空蒸发镀膜的分析，在40×40的范围内分别蒸 发：1000、5000、10000、20000、30000个粒子。  利用2维数组记录每个点的粒子数。  初始粒的横纵坐标为0～40的均匀分布。  能量为（15，3）的正态分布。  在基体表面自由行走时损失1的能量。  若该点有粒子，即与其他粒子相遇时损失3的能量。  由低处向高处扩散，每扩散一层，损失4的能量，由高处 向低处扩散，损失3的能量。  当粒子的能量小于等于0时停留下来，该点的粒子数加1。  临界核的尺寸为10个粒子。  根据每个点粒子个数的不同，以不同的灰度显示这些点。 点越亮，则表示该点的膜越厚。  以图形方式显示粒子初始能量的正态分布情况(Based on the analysis of the vacuum evaporation coating, respectively, in the range of from 4040 evaporated: 1000,5000,10000,20000,30000 particles.  each point using 2-dimensional array to record the number of particles. The  initial grains transverse and longitudinal coordinates of a uniform distribution of 0 to 40. The  energy as a normal distribution (15,3).  1 energy losses in the substrate surface to walk.  point particles that 3 energy loss in the encounter with the other particles.  by the lower diffusion tops every diffusion layer, a loss of 4 energy diffusion from high to low, the energy loss of 3.  When the energy of the particles is less than or equal to 0:00 stay down, add 1 to the number of particles that point.  critical nucleus size of 10 particles.  these points, depending on the number of particles of each point is displayed in a different shade. Point, the brighter, the thicker the point of the fi)

经典书籍-数字图像处理-冈萨雷斯-3。解决各位敲代码的烦恼！These MATLAB functions were created for the book Digital Image Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Prentice Ha(Classic books- digital image processing- Gonzalez-3. To resolve the trouble code you knock! These MATLAB functions were created for the book Digital ImageProcessing Using MATLAB (DIPUM), by RC Gonzalez, RE Woods, andS.L. Eddins, Prentice Ha)

对脑电信号进行滤波、快速傅里叶变换（FFT）及自相关、互相关计算，以观察每一通道脑电的相关性(On EEG filtering, fast Fourier transform (FFT) and autocorrelation, cross correlation calculation, in order to observe the correlation of each channel EEG)

In This Matlab Code we Use RLS Method To identify Any System Transfer Function, RLS is based of Recursive Least Squre Algorithm is very important method in System Identification.