摩擦动力学计算相关程序 friction-damper

说明：  化验结果诊断，程序详细，可以运行，欢迎下载(every )

pn gold code for spread spectrum

simulink中的三相整流，仿真成功可以看到动态的曲线()

说明：  电磁场有限元分析的剖分程序代码，可以对剖分程序进行画图。(Subdivision of finite element analysis code)

BCH编译码程序，对误码性能仿真，获得实际的误码曲线。(BCH Codec error performance simulation, the actual error curve.)

自相关法基音检测的MATLAB代码。自相关法计算速度较快的自相关函数法检测语音的基音频率，有效剔除了高频共振峰和噪音的影响，其估计基音频率准确性高，稳定性好，运算速度较快。(CAMDF)

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 )

lingo小程序，解决线性规划问题，希望对从事这方面的朋友有帮助。(lingo small program to solve linear programming problems, hope in this field to help a friend.)

光网可靠性分析，matlab实现。。自我修复功能，分析光网网络可靠性的算法(Optical network reliability analysis, matlab realize. . Self-healing capabilities, network reliability analysis algorithms optical network)

为了有效提取面邵表情特征，提出了一种新的基于LBP(局邵二值模式)特征的人脸表情识别特征提取方法首先用均值方差法对表情图像进行灰度规一化，通过对图像进行积分投影，定位出眉毛、眼睛、鼻和嘴巴这些关键特征点，进而划分出各特征邵件所在子区域，然后对子区域进行分块，提取各个子区域的分块LBP直方图特征(Abstract: In order to effectively extract facial expression feature,a novel facial feature extraction approach for facial expression recognition based on Local Binary Pattern(LBP) is proposed in the paper )