yanshifangxiangtuchengjidingli

基于PIC模型的太阳风粒子模拟程序，用matlab实现(particle simulation of solar wind with PIC, implemented with matlab)

SIMULATION OF OPTICAL SYSTEM

Harris角点检测算法，程序亲自验证，可以使用(harris appendimages match)

matlab 中矩阵行列移动函数 m文件，shiftl,shiftr等(matlab matrix of the ranks of mobile function m file, shiftl, shiftr such as)

一个报童从报刊发行中心订报后零售，每卖一份报纸可赚钱a元；若报纸卖不出去，则退回发行处，每退一份要赔钱b元。每天报童卖出的份数是随机的，但报童可以根据以往卖报情况统计得到每天卖k份报纸的概率密度p(k)。 （1） 求报童每天期望收益达到最大（或损失达到最小）的定报量z。 （2） 改变参数a/b的值，观察订报量的最优值变化，画出变化曲线。 试画出仿真流程图，进行程序实现，并对仿真结果进行分析。 (A newsboy subscribe from the press after the retail distribution centers, each sale of a newspaper can make money a million if newspapers can not be sold, then returned to Issue Department, each retire to a loss of a b element. Newsboy sold shares in a day is random, but the newsboy can sell based on past statistics reported to be selling daily newspaper k the probability density p (k). (1) seeking newsboy expected profit per day to maximize (or minimize loss) reported that the volume of fixed-z. (2) change the parameters a/b values, subscribe to observe changes in the volume of the optimal value, draw curve. Simulation test to draw a flow chart for program realization, and simulation results for analysis.)

segmentation of an image!! matlab code.image processing

beam forming in matlab using m files

mimo using alamouti code for 2 tx and 2rx using maximum likelihood detecor

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

POS inventory system