MIMO_OFDM1

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.)

LBP（局部二值模式）的matlab程序，有主文件lbp.m，对低版本的还有调用getmapping.m的文件，还有就是测试文件，是自己写的用循环语句批量处理图片用的(LBP (Local Binary Pattern) matlab program, there is the master file lbp.m, there are calls for a low getmapping.m version of the file, there is a test file, write your own pictures with batch processing loop used)

该工具包是用来计算MIMO中的凸优化问题，工具包用在matlab中可用来简化计算(The kit is used to calculate the MIMO convex optimization problem in matlab toolkit used to simplify the calculation of available)

关于BP网络的设计及改进方案实现分类，包含matlab源程序(On the BP network to achieve improvement program design and classification, including source code matlab)

用周期循环检测算法检测： 首先运行a.m程序，通过此程序运算得出循环频率a值； 再运行zhouqi.m程序，对a值进行确定，通过周期循环算法对信号进行检测； (With cycle detection algorithm to detect: First run am program, through this program computing a value obtained cyclic frequency zhouqi.m then run the program, for a value determined by the cycle algorithm of signal detection )

buck circuit for open loop

smoke detection wild fire

说明：  选题二、基于matlab简单图像处理系统用中值滤波方法消除噪声(Two topics, based on matlab image processing system with a simple median filter to eliminate noise)

matlab100个仿真实例，对理科专业或Matlab初学者有帮助(matlab100 a simulation example, the science professional or Matlab beginner help)

贝叶斯参数估计 输入：train_patterns, train_targets, sigma 输出：均值，协方差(function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) )