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说明：  用matlab 7.0 adaptse函数完成的 基于lms的自适应滤波器(Done with matlab 7.0 adaptse function of the adaptive filter based lms)

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)

简易的JPEG压缩程序源码(MMatlab实现) (Easy JPEG compression program source (MMatlab implementation))

该程序用来模拟信道，其中信道的功能包括加性高斯白噪声和多径信道(The program used to simulate the channel, which channels include additive white Gaussian noise and multipath channel)

fast algorithm uses a pyramidal decomposition of the signal into a user-specified number of level

Decide how to manage your data

典型相关随机森林算法，随机森林算法的改进(Typical correlation Random Forest algorithm)

Voronoi使用Matlab编程，解决选址、最小路径最大覆盖等问题(Voronoi uses Matlab programming to solve the problem of location, minimum path maximum coverage and so on)

说明：  数据 采集 应用Matlab软件通过控制声卡进行数据采集

本文档可用来学些matlab编程，通过本文档可以快学了解matlab编程的相关内容。(This document can be used to learn some matlab programming, through this document can quickly learn to understand the correlation matlab programming content.)