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MathematicalPrinciples
自然哲学之数学原理，伟人的杰作，可以看看(Mathematical Principles of Natural Philosophy, the great masterpiece, you can see)
- 2010-09-29 13:52:58下载
- 积分：1
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wavelet-tree-algorithm
采用压缩感知的方法，结合信号的小波树模型，对一维信号进行压缩重构。(Using Compressed sensing methods, combined with wavelet tree model of the signal, achieve the goal of the one-dimensional signal compression and reconstruction.)
- 2012-06-05 15:51:26下载
- 积分：1
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D
此程序是2013年全国研究生数学竞赛的D题的折射部分的程序，则会是一个很好地程序，本程序用matlab编写实现。(This program is the 2013 National Graduate Mathematical Contest Problem D refraction part of the process, then there is a good program, this program using matlab implementation.)
- 2013-09-25 19:10:38下载
- 积分：1
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communications
this book review about communication using matlab code
- 2014-09-03 23:39:07下载
- 积分：1
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song_yyjjxq
利用matlab编程实现音乐义勇军进行曲的演奏，已保存为m-文件，可直接运行(Using matlab programming Anthem playing music, saved for the m-file, can be directly run)
- 2013-08-08 15:40:49下载
- 积分：1
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prewitt
读取图像进行小波去噪后，获取图像的prewitt算子轮廓(After reading the image wavelet denoising, to obtain images of prewitt operator profile)
- 2013-11-04 19:03:41下载
- 积分：1
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Fingerprint-identificati
以GUI实现指纹的识别和匹配百分比,中间有对指纹的二值化，M连接，特征提取等处理(GUI fingerprint recognition and matching percentage, the middle of the fingerprint binarization M connection, feature extraction and processing)
- 2013-04-18 21:35:49下载
- 积分：1
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New-methods-for-MRI-denoising
New methods for MRI denoising based on sparseness andself-similarity
- 2013-11-16 10:09:46下载
- 积分：1
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xiaodianliujiedi
小电流接地故障选线文献，包含零序电流作为特征分量，神经网络故障诊断方法等(Small current grounding fault line selection literature, contain zero-sequence current as a characteristic component of the neural network fault diagnosis method)
- 2015-03-19 08:10:24下载
- 积分：1
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mini2
clear all
clc
t=0:1/1000:10-1/1000
s=sin(2*pi*t)
snr=20
s_power=var(s) varience of s
linear_snr=10^(snr/10)
factor=sqrt(s_power/linear_snr)
noise=randn(1,length(s))*factor
x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù
x1=noise Ô ë É ùÔ ´ Ê ä È ë
x2=noise
w1=0 È ¨Ï µ Ê ý ³ õ Ö µ
w2=0
e=zeros(1,length(x))
y=0
u=0.05
for i=1:10000 LMSË ã ·¨
y(i)=w1*x1(i)+w2*x2(i)
e(i)=x(i)-y(i)
w1=w1+u*e(i)*x1(i)
w2=w2+u*e(i)*x2(i)
end
figure(1)
subplot(4,1,1)
- 2010-10-26 16:41:03下载
- 积分：1
