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learnmatlab6.5
给大家传了一份精通matlab6.5教程 我开始学习的时候就在看这个 希望对大家有帮助(a file about matlab 6.5)
- 2009-10-30 10:19:23下载
- 积分:1
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svm for matlab toolbox
说明: 一个很好的Matlab工具箱源码,用于SVM的(a good source of Matlab Toolbox for SVM)
- 2005-12-29 15:17:54下载
- 积分:1
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tfr6pwvd
6阶多项式瓦格纳威利分布的源代码,实现良好的时频聚集性和精确的时频峰估计(6-order polynomial distribution of the source code of Willie Wagner, to achieve good time-frequency clustering and accurate estimates of time-frequency peak)
- 2011-06-28 23:35:24下载
- 积分:1
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ICE1_sfun
matlab发动机仿真模型,根据微分方程建立。包括传热模型,燃烧模型。(the matlab engine simulation model)
- 2013-04-03 17:43:58下载
- 积分:1
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jiyuLQR
基于LQR的直升机控制系统设计与仿真,matlab程序语言,对控制系统进行了仿真(LQR-based helicopter control system design and simulation, matlab programming language, the control system simulation)
- 2014-03-20 21:51:45下载
- 积分:1
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calculate_Z
用于计算电力系统的阻抗矩阵,其系统数据来源于matpower自带数据(Used to calculate the power system impedance matrix, the system comes with data the data matpower)
- 2016-09-07 15:26:23下载
- 积分:1
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Simulatistalk
双绞线串扰仿真模型研究Simulation model of twisted-pair crosstalk(Simulation model of twisted-pair crosstalk)
- 2011-01-24 20:18:17下载
- 积分:1
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ofdm_lbfgs
Main fuction is to reduce PAPR of OFDM by LBFGS scheme
- 2011-06-09 23:56:45下载
- 积分:1
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matlabcode
matlab代码
用于流动边界层转捩和稳定性Orr-Sommerfeld求解 Chebyshev collocation
(matlab code Orr-SommerfeldSquire system using Chebyshev collocation
)
- 2013-12-27 16:04:29下载
- 积分:1
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Parzen-window-method
此为模式识别中Parzen窗法估计概率密度函数。
全部程序流程如下:
1、读取FAMALE.TXT文件把身高或体重给数组,并求x1的样本数N1和窗宽、体宽;
2、读取MALE.TXT文件把身高或体重给数组,并求x2的样本数N2和窗宽、体宽;
3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M;
4、利用Parzen窗法估计概率密度函数判别男女性别;
5、对本判别的错误率进行统计。
(This is the pattern recognition Parzen window method to estimate the probability density function .
All program flow is as follows :
1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width
2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width
3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M
4 , the use of Parzen window method to estimate the probability density function of gender discrimination
5 , determine the error rate of the statistics .
)
- 2012-02-02 20:24:06下载
- 积分:1