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mimo-ofdm system simulation

MARKOv的应用 Step 1，求出各食品数据的增长率； Step 2，编程，使快速上升（>=0.03） ，在程序中用“2”表示；缓慢上升 (0,0.03)，在程序中用“1”表示；相对不变 0，在程序中用“0”表示；缓慢下降(-0.03,0) ，在程序中用“-1”表示；快速下降 (<=-0.03)，在程序中用“-2”表示；得到各类食品在不同时期的 ； Step 3，统计相邻增长率变化的一致的次数 ，就菜籽油而言，在2010-3-5到2011-3-15，其增长率为先快速增长后相对不变出现的次数为‘20’=1；具体42中食品的输出情况见附录； Step 4，对每一种食品，分五类进行叠加求和，分别为“先快速增长”、“先缓慢增长”、“先相对不变”、“先缓慢下降”、“先快速下降”；得到 ； Step 5，求出一步转移概率矩阵E ；即 每行的每五个数据依次与对应的 相除，得到概率矩阵E 的一行； Step 6，使用求出的一步转移概率矩阵E ，并求出不同时期的状态概率(MARKOv application Step 1, to obtain the growth rate of each food data Step 2, the programming, so fast rise (> = 0.03), in the program with " 2" slowly rising (0,0.03), used in the program " 1" indicates relatively constant 0, by the program " 0" indicates slow decline (-0.03,0), in the program by " -1" rapid decline (< =- 0.03), in the program with " -2" means get all kinds of food at different times Step 3, the same number of adjacent growth statistics change on rapeseed oil, in 2010-3-5 to 2011-3-15, Its growth rate is relatively rapid growth of the number of times after the first change occurs is ' 20' = 1 42 Output of specific food in Appendix Step 4, for each kind of food, five points are superimposed sum, respectively, " First of rapid growth," " first slow growth" , " first relatively unchanged" , " first slow down" , " first rapid decline" get Step 5, to obtain a step)

matlab 的一个knn分类例子和数据(knn。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)

今天上传《数学实验与Matlab》程序，希望对大家有用！(today uploaded "Matlab mathematical and experimental" procedures in the hope that it may be useful right! Thank you!)

MATLAB的音频信号的分析与合成程序，是一个PPT文件，看了还不错。希望大家喜欢......(MATLAB audio signal analysis and synthesis procedures, a PPT file, looked pretty good. I hope you like ...)

mablab financial time series toolbox

各种雷达信号处理的代码，全部都能用，有助于对雷达信号的学习。(A variety of radar signal processing code, all of them with the help of radar signals learning.)

说明：  Experimental and Modeling Studies of a Brillouin Amplifier文献中的数值模拟部分的matlab代码实现(Matlab code implementation of numerical simulation in literature of Experimental and Modeling Studies of a Brillouin Amplifie)

平台惯导初始对准程序仿真 (platform alignment)

生成圆阵的DBF校正因子,该圆阵为环形阵列，生成数据已归一化(Generate circular array of DBF correction factor, the circular array of circular arrays to generate data have been normalized)