quxie

This program can be used for plotting wavelet function.

解读matlab之小波库函数，对matlab中关于小波的主要函数进行的解读，并编写了源码(Interpretation of the wavelet matlab library function, wavelet matlab on the main function of interpretation, and the preparation of source)

假设检验例题 7.1 设总体 ，其中参数 ， 为未知，试指出下面统计假设中哪些是简单假设，哪些是复合假设： （1） ； （2） ； （3） ； （4） ； （5） . 解：（1）是简单假设，其余位复合假设 (Hypothesis testing for Example 7.1 overall, including parameters, is unknown, pointed out that the following statistical hypothesis test which is a simple assumption, which is a compound hypothesis: (1) (2) (3) (4) (5). Solution : (1) is a simple assumption, the remaining bit composite hypothesis)

它详细介绍了如何利用ZXing编写一个二维码的编码程序(It details how to use ZXing to write a two-dimensional code encoding process)

源代码在matlab实现相邻帧间差分法对于视频中对移动目标的识别。附送视频，在matlab上能打开的视频只有无压缩的AVI视频。视频背景没有变化的情况下，处理效果很好。(The source code in matlab between adjacent frame difference method for the recognition of moving target in the video. Attached to the video, can open the video on the matlab only compressed AVI video. Does not change the background of video cases, the treatment effect is very good.)

说明：  基于CRAFT的多阶段柔性设备布局优化算法 　　多阶段设备布局下的总成本包括设备拆装成本、物料搬运成本以及区域利用成本,问题的目标是最小化总成本。首先,在分析问题的基础上,建立基于多阶段设备布局优化目标的数学模型 其次,采用改进的CRAFT启发式算法优化单阶段设备布局 进一步,提出基于单阶段设备布局算法的多阶段启发式算法,优化多阶段设备布局 最后,数值实验表明算法优化后总成本降幅达28.57％. (CRAFT-based multi-stage flexible equipment layout optimization algorithm under the multi-stage equipment, the layout of the total cost including equipment disassembly cost, material handling costs as well as regional use of cost, the goal is to minimize the total cost. First of all, the analysis of the problem on the basis of the equipment based on the layout of multi-stage mathematical model of optimization objectives Secondly, the adoption of improved CRAFT heuristic algorithm to optimize the layout of single-stage device to further, based on equipment layout algorithm for single-stage multi-stage heuristic algorithm, optimize the layout of multi-stage equipment Finally, numerical experiments show that the optimized algorithm for the total cost of 28.57 percent decrease.)

该程序是三维拓扑优化程序，对于做拓扑优化的学生来说是很有帮助的(matlab code for 3D topology optimization)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)

说明：  MATLAB实现群时延，小数时延，以及整数时延的方法，已经过仿真(MATLAB group delay, the fractional time delay, and the method of integer delay has been through the simulation)

说明：  局部均值分解+样本熵的MATLAB程序，包含仿真例程。(LMD)