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CH26
经济和金融问题的求解
; 时间序列预测模型
,经济学模型
,规划问题求解
(The solution of economic and financial issues time series forecasting models, economic models, planning and problem solving)
- 2011-05-20 15:14:39下载
- 积分:1
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TEST
信号与系统的实验报告,大学课程的使用,可以使用,放心下载(Signal and system experiment report, the use of university courses, you can use, feel free to download
)
- 2014-02-08 11:36:13下载
- 积分:1
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随机点生成及voronoi图构造
说明: 在二维平面内生成随机点并构造二维Voronoi图(Construction of 2D Voronoi diagram with random points)
- 2019-11-23 10:39:34下载
- 积分:1
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SysTimeConversion_project
When you use the Microsoft Automation functions VariantTimeToSystemTime to convert variant time to system time and the SystemTimeToVariantTime to convert system time to variant time, the milliseconds value appears as zero or is ignored
- 2007-10-16 09:34:37下载
- 积分:1
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imgrayscaling
这个函数提供灰度拉伸功能,输入图像应当是灰度图像,但如果提供的不是灰度图像的话,函数会自动将图像转化为灰度形式。x1,x2,y1,y2应当使用双精度类型存储,图像矩阵可以使用任何MATLAB支持的类型存储。(This function provides a gray scale stretching function of the input image should be grayscale image, but if not provided, then gray image, the function will automatically be converted to grayscale image form. x1, x2, y1, y2 should use double precision storage, image matrix can store any type of MATLAB support.)
- 2010-11-29 15:12:46下载
- 积分:1
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three_phase_inverter
三相逆变桥【做的有点渣,请见谅【二十字二十字二十字二十字(Three-phase inverter bridge)
- 2013-11-12 22:26:27下载
- 积分:1
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data-analysis
matlab中的数据分析(回归),包括相应的ppt,以及例子的matlab程序源码,便于方便学习(Matlab in the data analysis (return), including the corresponding PPT, and examples of matlab source, easy for learning)
- 2013-12-28 00:18:35下载
- 积分:1
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Software
软件调试方面的书籍,内容不错,而且只有100多页,便于学习,感觉还不错,与大家共同分享。(Software debugging of books, the content is true, and only 100 pages, easy to learn, feel pretty good, and everyone shared.)
- 2010-02-01 12:09:22下载
- 积分:1
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FDTD-1D-in-Nonmagnetic-Plasma
This FDTD 1D simulation based on Dennis Sullivan book s. Wave propagation in vacuum background and penetrates Nonmagnetic Plasma.
- 2012-11-13 15:49:13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