201303

灰色GM（1,1）预测matlab程序。(gm（1，1）)

说明：  粒子群优化算法，是一种连续空间的优化的算法(Particle swarm optimization is an optimization algorithm for continuous space)

guys here RSA ,DIFFIE HELLMAN ANS HASH PADDING CODE SO DOWNLOAD AND TAKE FUN

一组取值为+/-1的随机序列，每两个数据之间插入3个0，然后将序列通过一个设计好的根升余弦滤波器，并用周期图法和Welch法分别绘制信号的功率谱。再次通过根升余弦滤波器后用stem函数绘图。(A set of values ​ ​ is+ /-1 random sequence inserted between every two data 3 0, then the sequence through a root raised cosine filter designed, periodogram and Welch method to draw the signal powerspectrum. Stem function by root raised cosine filter with drawing again.)

syndrome calculater to reduce adaptive noise

非均匀滤波器组仿真，16通道的非均匀滤波器组simulink模型(Simulation of non-uniform filter banks, 16 channels of non-uniform filter simulink model)

关于谱估计的MATLAB源程序，含各种谱估计的对比(MATLAB source code on the spectrum estimation)

用最小二乘法进行线性拟合并计算不确定度参量以及牛顿多项式插值法求精确值(least square method & Newton polynomial interpolation)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

收集的matlab，simulink的全部基本命令，方便大家查阅！(Collection matlab, simulink all basic commands, convenient access to U.S.!)