MUSIC

说明：  随机共振的MATLAB源程序，运用龙哥库塔算法进行的仿真 (sr based on matlab using the longewan function to simulate )

BROWNIAN_MOTION_SIMULATION

LDPC编解码的matlab仿真程序代码(MATLAB emulation code of LDPC codec)

说明：  基于PCA实现的人脸识别，识别率达到80 以上(Face Recognition Based on PCA implementation, the recognition rate of more than 80 )

这是pi_4_DQPSK的MATLAB仿真源程序，很好的仿真了这种数字调制和解调(This is pi_4_DQPSK the MATLAB simulation of source, a good simulation of this kind of digital modulation and demodulation)

对信号进行傅里叶变换的程序，附带实验报告，有兴趣的同学可以下载(Fourier transform of the signal process, with lab reports, students who are interested can download)

光伏MPPT最大功率跟踪仿真模型，很有参考价值的算法(Photovoltaic maximum power tracking of MPPT simulation model, the algorithm of great reference value)

peParabWegImp用加权隐式格式解扩散方程的初边值问题(peParabWegImp initial boundary value problem of the solution of the diffusion equation with weighted implicit format)

实现语音信号通过低通滤波器后，得到频谱，并且输出滤波前后的图形。(Voice signal through a low pass filter to obtain a frequency spectrum, and outputs the graphic before and after filtering.)

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)