SOURCE_CODE

乘法逆元的实现，就是对元素的逆元求解实现(Multiplicative inverse of the implementation of the elements of inverse solution to achieve)

基于纯滞后延迟系统的IMC内模控制系统实现(imc control)

It os a single phase full controlled inverter.

说明：  集合经验模态分解 是针对EMD方法的不足，提出了一种噪声辅助数据分析方法。 信号处理完整代码(Ensemble Empirical Mode Decomposition signal processing)

the fuction performs thresholding to the eye images. this function can be used in implementing daugman algo for iris localization.

学习利用MATLAB 模拟产生随机过程的方法，随机过程的模拟与数字特征(Analog and digital characteristics of the random process，Learning MATLAB simulation to generate the random process)

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 )

智能控制编程及其在matlab中如何应用实现(Intelligent control programming and its implementation in matlab how to apply)

粒子群算法（PSO）优化BP神经网络，用来进行非线性的校正，效果良好(Particle swarm optimization (PSO) to optimize BP neural network, used for non-linear correction, to good effect)

用于模拟通信系统中不同统计信道场景下的服从不同分布的噪声。(Communication systems used to simulate different scenarios of statistical channel obey different distributions of noise.)