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extract_LP
说明： 车牌定位的源代码，通过颜色特征过滤抽取将黄色区域抽取出来(plates positioning of the source code, color filter characteristics will be collected yellow regional extracted)
- 2006-03-02 17:40:51下载
- 积分：1
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MATLAB
对采集到的信号进行快速傅里叶变换，可以实现对信号频谱分析(The collected signals fast Fourier transform, spectral analysis of the signal can be achieved.)
- 2021-01-13 10:38:48下载
- 积分：1
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CannyEdge
CANNY边缘检测，MATLAB代码，可以实现是不同的阈值设置，内含代码、检测的图形和最终结果(CANNY edge detection, MATLAB code, you can achieve different threshold settings, contains code to detect the graphics and the final result)
- 2015-01-23 10:58:57下载
- 积分：1
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TD2new
AN IMPORTANT class of theoretical and practical
problems in communication and control is of a statistical nature.
- 2015-03-15 00:08:04下载
- 积分：1
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finite-difference-method
Ⅰ层模型声波波场数值的有限差分模拟程序，可自行下载研究( finite difference method)
- 2016-01-21 15:39:21下载
- 积分：1
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FTF_ANC
说明： 噪声主动控制之基于快速横向滤波算法；噪声主动控制之基于快速横向滤波算法(Active noise control algorithm based on fast horizontal filtering Active Noise Control of the horizontal filtering algorithm based on fast)
- 2020-12-10 21:19:19下载
- 积分：1
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Series_Resonamce_exp_101a
Practical Matlab experiment for Series Resonamce
- 2013-10-04 15:00:10下载
- 积分：1
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figtojpg
matlab写的将fig格式图片转成jpg格式的源代码(matlab write the fig format jpg format image into the source code)
- 2013-12-03 21:10:47下载
- 积分：1
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CUCAO
粗糙集MATLAB程序~~~~~~~~~~~~~~~~~~~~~(MATLAB PROGRAM)
- 2009-09-10 22:35:37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
