saifun_v30

ejercicio numero uno de icarnegie mellon university

孙志忠书：偏微分方程数值解，第三章第一节：抛物方程的有限差分解法向前欧拉格式(forward euler difference scheme for parabolic problem)

m序列产生子函数 gold序列产生子函数 自相关函数和互相关函数计算子函数 调用子函数[s,k,pn]=m(c,b0)产生第二条m序列(function [Rm]=Rm(golda,goldb) 自相关函数和互相关函数计算子函数 N=11 n=2^N-1 Rm(1)=sum(golda.*goldb)/n for k=1:n-1 Rm(k+1)=sum(golda.*circshift(goldb,[0,k]))/n end Rm )

用matlab语言实现卡农在matlab上的演奏，通过试验，可以运行。(Canon played in matlab matlab language test, you can run.)

matlab 应用的经典例题，经典例子(classic example of matlab)

MATLAB图形编程三角函数曲线源程序Trigonometric curves MATLAB graphical programming source code(Trigonometric curves MATLAB graphical programming source code Trigonometric curves MATLAB graphical programming source code)

关于用遗传算法改进BP神经网络的matlab实现(转引) ga优化神经网权值&阈值程序。 优化的基本原理和过程很多论文可以查到，在此不必赘述我就把用gaot5的小程序贴在下面吧，也是y=1/x(为看的方便，比较繁杂的也有) (About matlab improved BP neural network using genetic algorithm implementation (quoted) ga optimizing neural network weights & Threshold Program. Optimization of the basic principles and procedures can be found in many papers, this does not have to go into details, I' ll stick with gaot5 small program below it, is y = 1/x (for watching convenience, there are also more complicated))

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)

modulation and demodulation 16-QAM

这是利用matlab编写的四通道交通环路系统的元胞自动机程序，希望能有所帮助。(It is written using matlab loop four-channel transport system of cellular automata program, hoping to help.)