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bpelmanrbfgrnn
预测股市的matlab程序,可以选择神经网络类型,更可以推广使用(Stock market prediction matlab program, you can choose the type of neural network, but also to promote the use of)
- 2007-09-04 15:01:35下载
- 积分:1
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80216a-03_01
适用于802.16d的无线信道模型的说明文档,是standford的sui信道模型(Applicable to the wireless channel model 802.16d documentation is standford of sui channel model)
- 2008-06-05 10:05:45下载
- 积分:1
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code
《Matlab遗传算法工具箱及应用》源码(" Matlab genetic algorithm toolbox and application of" source)
- 2010-03-04 22:29:35下载
- 积分:1
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gaMatlab
一篇关于ga算法在matlab中的应用的论文,用于解决参数优化问题。(ga on a MATLAB algorithm in the application papers for the settlement parameter optimization problem.)
- 2007-04-12 13:37:17下载
- 积分:1
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WWigerVille
时频分析方法中的伪——威格尔分布,可用于信号处理。(Time frequency analysis of v-Weigel distribution method, which can be used for signal processing.)
- 2015-03-20 14:39:17下载
- 积分:1
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mars1
实现模型参考自适应的无速度传感器仿真,运行良好,并且经过试验验证良好(Implementation model reference adaptive speed sensor simulation, running well, and after a good test verification)
- 2011-07-21 14:45:07下载
- 积分:1
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Heat-Conduction
A matlab code to compute heat conduction
- 2011-07-22 17:20:34下载
- 积分:1
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Computer-modeling-FINAL-EXAM-ALL-200-questions
Computer modeling FINAL EXAM ALL 200 questions
- 2013-09-27 11:45:35下载
- 积分:1
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11
说明: empirical formula with kaiser
clc
clear all
fs=1000
fc=250
df=50
r=0.001
f=fc/fs
dw=2*pi*(df/fs)
a=-20*log(r)
n=floor(((a-8)/(2.285*dw))+1)
if a>50
b=0.1102*(a-8.7)
elseif a>=21 && a<=50
b=0.5842*((a-21)^0.4)+0.07886*(a-21)
elseif a<21
b=0.0
end
w=kaiser(n,b)
for i=1:n
if i~=(n-1)/2
hd(i)= (2*f*sin((i-((n-1)/2))*2*pi*f))/((i-((n-1)/2))*2*pi*f)
elseif i==(n-1)/2
hd(i)=2*f
end
end
for j=1:n
h(j)=w(j)*hd(j)
end
subplot(3,1,1), plot(w)
subplot(3,1,2), plot(h)
subplot(3,1,3), plot(h,n)
- 2014-12-24 23:20:03下载
- 积分:1
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itd
随记减量法是从结构的随机振动响应信号中提取该结构自由衰减振动信号的一种方法-With the mind Reduction Act(Reduction Act is credited with random vibration response of the structure from the signal to extract the structure of a method-With free decay vibration signals the mind Reduction Act)
- 2013-12-02 16:05:28下载
- 积分:1