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tezhentiqu
论文使用一种经典的特征提取方法—主成分分析法（PCA）进行特征提取，其基本思想是降维。降维后的数据除了计算工作量减少之外不会减少原始数据所包含的有效信息量。(This paper use a classical method for feature extraction—Principal Component Analysis(PCA)with the basic idea of dimensionality reduction(it still contains all valid information).)
- 2011-12-15 18:56:13下载
- 积分：1
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pls_sur
Tools for regression
- 2012-11-30 13:46:29下载
- 积分：1
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Interpolation
关于Matlab中的数学实验，曲线的插值与拟合(Interpolation and fitting)
- 2010-06-23 10:20:59下载
- 积分：1
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fft
FFT频谱分析，包括矩形波，三角波，及其功率谱(FFT spectrum analysis)
- 2009-06-07 20:56:20下载
- 积分：1
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svpwmgenerator2
说明： 三电平逆变器模型,基于空间矢量算法，信号源为恒定三相交流信号经旋转变化得到控制脉冲信号(three level invetrer model)
- 2011-02-20 13:38:09下载
- 积分：1
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deBoorCox_Bspline
deboor算法，B样条，程序简单易懂，很实用(deboor algorithm, B-spline)
- 2010-10-07 13:14:55下载
- 积分：1
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xyj
洗衣机的模糊控制的matlab实现小Demo(Fuzzy Control of Washing Machine Based on MATLAB Demo)
- 2019-04-10 09:42:45下载
- 积分：1
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rnnsim
RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim
- 2010-03-04 16:55:55下载
- 积分：1
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chap45
先进PID控制MATLAB仿真(第3版), 作者: 刘金琨,4、5部分源码(Advanced PID control MATLAB simulation (3rd edition), Author: Jinkun, 4,5 some source)
- 2013-09-01 00:19:05下载
- 积分：1
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wavelet-MATLAB-code
实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示(Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition reconstructed from the coefficients in the low frequency and high frequency display high-frequency and low frequency restored by the inverse wavelet transform signal multi-layer one-dimensional decomposition extraction coefficient of low frequency and high frequency reconstruction of 3-layer low-frequency coefficients reconstruction of the first layer of high-frequency signal 1,2,3,4,5 reconstruct the original signal and display)
- 2011-11-04 21:50:49下载
- 积分：1
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