dsb

Mie散射matlab的源代码，对于微小粒子光散射，光学性质的进行时，使用matlab进行计算(Mie scattering matlab source code for the micro-particle light scattering, optical properties of the proceeds, calculated using the matlab)

正交频分复用系统中的一种子空间盲信道估计matlab仿真源程序(Orthogonal frequency division multiplexing system in a subspace blind channel estimation matlab simulation source)

癫痫脑电数据的小波分解，对数据进行离散小波变换(Epileptic EEG data decomposition, discrete wavelet transform on the data)

An algorithm to find a sub array maximum.

EnMn 求一帧语音信号的短时能量和短时幅度函数(Seeking a short-time speech signal power and short range function)

cmake验证是否安装正确， 验证是否安装正确(cmake cmake cmake installation installation correct)

数字信号处理中采样定理和卷积定理的验证，简单易懂的matlab源码，(Validation sampling theorem and convolution theorem of the digital signal processing in the matlab source code, easy to understand)

NRTL活度系数方程回归计算小程序，仅供交流学习(NRTL activity equation regression program for communication and study)

说明：  SFA算法的matlab实现，不是使用工具箱的那种，纯编程，望支持(The algorithm of SFA, not use the tool box function, use laugage of matlab.)

1.附件结构: gatbx.rar: (1)gatbx-origin.zip (2)gatbx-toolbox.rar (3)gatbx-example.rar 2.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(1 attachment structure: gatbx.rar: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar 2 debugging using Matlab version 6.5, gatbx-toolbox is used during debugging toolkit, and some enthusiastic research has provided the Friends of the toolbox, paste again the reason is because the 6.5 version of the toolkit will be to debug some error, in this version has been corrected, use the toolkit to archive only under gatbx and gatbx Test_fns can be added to the Matlab search path, in addition to the University of Sheffield gatbx-origin is the original version of the tools available box, without making any changes, both to do comparison with the 3.gatbx-example is the study of debugging code and debugging examples illustrate, we can compare against the original book 4. I humbly believe gatbx than Matlab7 new toolbox toolbox under gads more people are familiar with and understand the principles of genetic algorithms and calculations, although less than in the visual )