lecture5

rake接收机性能的深入分析研究，主要是在CDMA中的应用(in-depth analysis of the rake receiver performance research, mainly in the CDMA Application)

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 )

这是一个用二维小波分析进行信号消噪处理的典型实例。(This is a two-dimensional wavelet analysis Signal Denoising typical examples.)

以减小网损为目标的配电网重构问题求解，利用二进制粒子群优化算法(To solve the problem of distribution network reconfiguration with reduced network loss, binary particle swarm optimization algorithm is used.)

说明：  matlab 实现优化遗传算法程序，适合于遗传算法初学者(matlab genetic algorithm optimized procedures, genetic algorithms for beginners)

混合高斯模型来进行前景背景区分的matlab实现代码(Gaussian mixture model to distinguish between foreground and background matlab implementation code)

一个9输入4输出的矩阵，利用BP神经网络训练并预测。通过不断的调试获取最可靠地输出。(A 9-input 4-output matrix, using BP neural network training and prediction. Continue to debug access to the most reliable output.)

The document is about networked control systems design and concepts.

sensitivity calculus : output variation vs parameter variation

复杂网络下各种模型的源程序实现matlab(The complex network model of the source matlab)