hamming

用c++实现的差分格式求解微分方程。两点边值问题的差分格式( yong chafen geshi shijiande qiujie weifenfangcheng )

ofdm在matlab上的仿真程序，并且是可视化的matlab程序(ofdm simulation)

一元线性回归和二元线性回归的matlab实例编程 包括有多元线性回归模型(Linear regression and binary linear regression matlab programming examples include multiple linear regression model)

小波包降噪、提取能量特征值，用于振动信号处理、故障诊断等。里面有经典的例子，供大家学习(Extract the energy eigenvalues for vibration, wavelet packet de-noising, signal processing, fault diagnosis. There are classic examples, for everyone to learn)

说明：  本程序主要是实现最优多用户检测，从而能够实现最优的误码率性能和最好的抗远近效应能力。(Multi-user Dectection )

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)

用matlab编写的正交相移调制，已通过测试，可以运行(QPSK)

最小高斯移频键控调制性能仿真，含频谱分析，matlab的simulink实现(Gaussian minimum shift keying modulation frequency performance simulation, including spectral analysis, matlab achieve the simulink)

利用粒子群算法，计算函数的最优化问题。 本程序有很强的适用性。在理论与实际问题的优化上有一定的推广价值(The use of particle swarm optimization, the calculation function of the optimization problem. This procedure has a strong application. Theory and practical problems in the optimization of the promotion of certain values)

非线性光学晶体LBO的1064nm倍频角度计算(Calculation of 1064nm frequency- doubling angle for nonlinear optical crystal)