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Hertel_dielectric_waveguides
Dielectric waveguides. Outstanding handbook in electrooptics. Examples of different methods for analysis of modes of dielectric waveguides .Matlab codes are included.
- 2009-06-16 00:06:03下载
- 积分：1
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examples
徐荣桥《结构分析的有限元法与Matlab程序设计》源程序(Xu Rongqiao Structural Analysis of the finite element method and Matlab Programming source code)
- 2010-02-22 14:21:49下载
- 积分：1
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sound-matlab
GUISOUND M-file for guisound
GUISOUND, by itself, creates a new GUISOUND or raises the existing
- 2014-08-06 21:19:08下载
- 积分：1
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routing-strategyIJCNS20100700004_90601964
Introduction to ZigBee standard and research papers for the same is attached.
- 2013-09-30 19:42:04下载
- 积分：1
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多尺度熵
多尺度熵，用于对图像和各类数字信号进行处理(multiscale entropy used for the signal processing)
- 2020-07-02 18:40:01下载
- 积分：1
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Hausdorff
说明： Hausdorffn距离的Matlab程序(Matlab Program for Hausdorffn Distance)
- 2019-06-17 16:55:20下载
- 积分：1
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Matlab_ODE_solution
对matlab ODE的求解进行了详细的分析，并带有详细的例子（代码）可用来练习。(Matlab ODE solution on a detailed analysis, with detailed examples (code) can be used to practice.)
- 2009-01-01 14:58:54下载
- 积分：1
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white_noise2
说明： 利用随机方法产生-1 +1 分布的白噪声(using random methods-1 1 distribution of white noise)
- 2006-04-02 10:52:45下载
- 积分：1
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fecgm
独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S + N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S+ N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...)
- 2010-05-27 23:08:51下载
- 积分：1
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matlab-web-service
实现了基于matlab web server的虚拟试验平台的程序，实现了部分信号与系统的验证性试验(Implementation of virtual experimental platform of Matlab Web based on server program, realized the confirmatory test signals and systems Part)
- 2014-12-19 10:07:11下载
- 积分：1
