MATLAB

matlab非常重要的几点经验，非常值得留意和注意。(matlab a few very important experience, very worthy of attention and attention.)

说明：  地震波模拟 波场立体模拟结果 海水双层介质，总括过程。(Three-dimensional simulation of seismic wave simulation wave field water layer media, to conclude the process.)

Some Matlab CS Reconstruction Algorithm Codes such as greedy pursuit_OMP,COSaMP,SP Convex Optimization _BP algorithm,LP,IHT and TVq algorithm, TVqc. We use one picture to Check these Algorithm.

function involvoed in removal noise from environment

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)

NS ALGORITHM.元胞自动机交通流模型的NS模型代码(NS ALGORITHM. NS model code cellular automaton traffic flow model)

matlab写的模式识别的程序，可以实现对模板文件的识别(matlab write pattern recognition procedure, can achieve recognition on the template file)

说明：  自己编写的NB函数，可以读取UCI数据集中任意一个数据集。(I have written the NB function, can read any of the UCI data set data set.)

Modeling a DC Motor in Stateflow® This is a model of a permanent magnet DC motor. The mode logic and dynamics of the DC motor are both modeled using Stateflow.

Parallel Chopper circuit