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medical-image-fusion
medical image fusion usin IHS
- 2014-09-10 23:42:05下载
- 积分:1
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testMatlabDll1
教你如何利用vc使用matlab编译后的动态链接库(Teach you how to using matlab Dll in VC++)
- 2013-03-24 14:52:14下载
- 积分:1
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MATLAB
matlab 基本的loop功能,只是最基本的先前条件所构成的loop代码(matlab basic loop function)
- 2013-05-26 14:16:01下载
- 积分:1
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cyclic-spectrum
分数低阶循环谱程序,用于计算循环平稳循环的分数低阶循环谱(Fractional lower order cyclic spectrum program for calculating the fractional lower order cyclic spectrum of the cycle.)
- 2016-01-03 15:53:10下载
- 积分:1
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Monte Carlo
对仿真弹道进行3个参数偏差的蒙特卡罗打靶分析,然后给出置信区间高度等等(THE REAL EXAMPLES)
- 2016-04-26 11:40:43下载
- 积分:1
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lindo
一个小的lindo,做数学建模的同志们应该知道吧,不知道你们用得上不。以后有好东西再给大家送来(A small lindo, make mathematical modeling comrades should know, I do not know you is not useful. After the U.S. has brought good things to give)
- 2007-08-28 22:49:55下载
- 积分:1
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Simulation_of_a_variety_of_LMS_Algorithm
各种LMS改进算法的仿真与分析说明对各种改进算法的优缺点在文档中进行了对比(A variety of LMS Algorithm for simulation and analysis shows the advantages and disadvantages of various improved algorithms have been compared in the document)
- 2009-12-19 18:11:08下载
- 积分:1
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analysis_limited
It is the .m file of the implement analysis of the following paper "Z. Zhang and Y. Yang, Performance Modeling of Bufferless
WDM Packet Switching Networks With Limited-Range Wavelength Conversion. IEEE, TRANSACTIONS ON COMMUNICA-
TIONS, 54(8), August, (2006)."
- 2013-01-25 19:23:23下载
- 积分:1
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Dispersive_of_Waveguide
用全波分析法计算双脊波导的色散特性和场分布,对计算电磁学全波仿真学习非常有用(The Usage of Full Wave Analysis calculating the dispersive characteristics and electromagnetic field distribution of double ridge waveguide)
- 2015-04-19 21:45:00下载
- 积分:1
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ZCR
autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2.
The resulting autocovariance column vector acv is given by the formula:
acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar)
where X_bar and Y_bar are the mean estimates:
X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i}
It satisfies the following identities:
1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X)
2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)
- 2013-05-26 22:12:50下载
- 积分:1