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Platform_Public
说明： 多个系统数据同步公共部分函数源代码，太麻烦了，每次说明都要这么多字(data synchronization system over some public function source code, too cumbersome, each note must so many characters)
- 2006-03-15 13:42:36下载
- 积分：1
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99LINESTOPOLOGYOPTIMIZATION
一个牛人写的99行的优化程序的文章
A 99 LINE TOPOLOGY OPTIMIZATION CODE BY OLE SIGMUND(a cattle written by the 99 articles optimization program LINE A 99 TOPOLOGY OPTI MIZATION CODE BY OLE SIGMUND)
- 2021-02-27 15:49:36下载
- 积分：1
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PID.m
首先是编写2个输入，1个输出的隶属度函数；接下来的是模糊规则，一共49条；然后用解模糊函数得出控制量U，这里输出的U就直接是精确量了，解模糊用到得规则是取隶属度最大的那个数即MOM算法。
显示的三个图形窗口分别是：模糊控制器内部原理图，以及2个输入，1个输出的隶属度函数图。 (Fuzzy PID controller MATLAB simulation program
)
- 2009-11-12 11:05:11下载
- 积分：1
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SIGjava
proyecto de sistema de informacion
- 2013-07-10 11:48:38下载
- 积分：1
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Simulation1
基于质心算法的无线传感器网络的研究，但是定位精度较低。(Wireless sensor networks based on the centroid algorithm research, but lower positioning accuracy.)
- 2013-04-16 17:08:27下载
- 积分：1
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noise2
给原始的语音信号加上一个高频余弦噪声，频率为5kHz。画出加噪后的语音信号时域和频谱图(To the original speech signal and the last high frequency cosine noise, frequency of 5kHz. Speech signal time domain and frequency spectrum and noise after the draw)
- 2014-11-13 19:40:07下载
- 积分：1
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lsqcurvefitting
matlab二维拟合函数表达式 应用于lsqcurvefit(@myfun,a0,data,zdata)
(非线性最小二乘法拟合)(curve fitting)
- 2010-07-09 10:27:56下载
- 积分：1
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ESDNonlinear
introduction to nonlinear estimation with EKF and an example in Matlab
- 2009-04-09 02:09:23下载
- 积分：1
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puma-robot-simulation
6自由度puma机器人仿真程序（其中建立图形界面）----机器人视觉伺服(6 degrees of freedom puma robot simulation program (which established a graphical interface )---- robot visual servo)
- 2011-05-17 15:41:23下载
- 积分：1
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adaptive-signal-arithmetic
Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved．
Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer
simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise
property is exhibited under Low—SNR environment than the original one．(variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.)
- 2007-05-24 19:55:28下载
- 积分：1
