Matlabbcs1111

matlab追赶法实验报告完整版(matlab experiments to catch up with the full version of the report)

空间电压矢量调制（SVPWM）的matlab实现,产生的脉宽调制波驱动三相全桥IGBT模块(Matlab implementation of the space vector modulation (SVPWM))

this code uses the particle swarm optimization PSo techinque in tunning a PID controller in order to obtain the adequate values of the controller gains

PSK QPSK modulaltions

这是简单的一个可以绘制直线的matlab程序。这个程序只能绘制直线，圆等。程序简单，希望大家互相学习探讨。(this is a program about how to draw the line,the circle and so on.I hope we can learn the programe each other. thank you.)

this is visuall c++ programmes to remove noise

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)

This function used to find peaks of histogram.

classification using PNN classification

基于Matlab的卡尔曼滤波器的实现与仿真代码，验证成功(Based on Matlab Kalman filter implementation and simulation code, the validation is successful)