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Audio processing using matlab

this is code of multidimensional scaling

Tutorial Two (You should run it in the Command Window)

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

文件为Newton插值算法的源代码，有兴趣的可以参考参考(Newton interpolation algorithm)

文献“Sparse Representation based Fisher Discrimination Dictionary”及其对应的matlab代码，稀疏学习是目前非常流行的方法，希望对大家有所帮助(a paper named Sparse Representation based Fisher Discrimination Dictionary and its matlab code)

BATTLE OF HELICOPTERS

计算多重分形非趋势波动分析，包括回归分析和概率统计，用于时频分析算法。( Calculate the multifractal trend fluctuation analysis, Including regression analysis and probability and statistics, For time-frequency analysis algorithm.)

说明：  压缩感知（Compressive Sensing，CS），有时也叫成Compressive Sampling。相对于传统的奈奎斯特采样定理——要求采样频率必须是信号最高频率的两倍或两倍以上（这就要求信号是带限信号，通常在采样前使用低通滤波器使信号带限），压缩感知则利用数据的冗余特性，只采集少量的样本还原原始数据。(（Compressive Sensing，CS）)

弹道仿真程序包，共5个m文件，一个主程序，4个子程序，很好的弹道模型仿真！(Trajectory simulation package, a total of 5 m file, a main, 4 sub-procedures, good ballistic model simulation!)