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Matlabwaveletfeatureextraction
Matlab小波特征提取，主要是纹理特征(Matlab wavelet feature extraction, texture features are mainly)
- 2010-11-29 18:47:08下载
- 积分：1
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A-Guide-to-MATLAB-for-Beginners
matlab 入门书，初学者和有经验的人士都有用处。(A Guide to MATLAB for Beginners and Experienced Users by Hunt Lipsman and Rosenberg)
- 2012-03-22 11:36:12下载
- 积分：1
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IEEE802
IEEE802 11b 的物理层仿真程序，绝对可用。希望对你学习IEEE802有所帮助。(IEEE802 11b of the physical layer simulation program is absolutely available. Hope to learn from you IEEE802 help.)
- 2007-06-13 08:21:07下载
- 积分：1
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readprocess
说明： 在实验中，处理记录数据文件是经常要做的，而用Matlab来处理是我最推崇的，方便快捷，数据文件格式任意设置，均可处理，将数据文本data.txt,用Matlab来处理，用这个小程序做来非常容易，而且处理后得到的图形可直接Copy到各种需要的文件中。(In the experiment, record data processing documents often do, using Matlab to be dealt with me most respected, convenient and arbitrary data file format settings can be handled data.txt text data using Matlab to deal with the use of such small programs very easy to do, but after the Copy graphics directly to the needs of the document.)
- 2006-05-12 19:54:48下载
- 积分：1
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the_Batch_Perceptron_Algorithm
模式识别的批处理matlab源代码，包括学习文档，和实验图像。(Pattern recognition matlab source code of the batch, including the study documentation, and experimental image.)
- 2009-04-30 10:42:27下载
- 积分：1
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支持向量机SVM和核函数的matlab程序集
说明： 支持向量机SVM和核函数的MATLAB程序集(MATLAB SVM RBF SIGMOD)
- 2020-06-23 10:00:01下载
- 积分：1
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vad
matlab语音端点检测源码,对非连续性语音具有良好的检测性能(vad in process of speech)
- 2012-04-11 19:48:08下载
- 积分：1
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matlabDBT-
matlab阵列信号处理工具箱DBT,作为阵列信号仿真的必备(array signal processing toolbox matlab DBT, as necessary array signal simulation)
- 2011-06-19 09:17:08下载
- 积分：1
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uml
UML软件项目报告 包含图书馆系统的UML软件工程项目实现(UML software project report contains the library system' s UML software engineering project to achieve)
- 2011-01-08 17:01:05下载
- 积分：1
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VistaRestoreTools1.0
denoise
In BayesShrink[5] we determine the threshold for
each subband assuming a Generalized Gaussian
Distribution(GGD) . The GGD is given by
GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)
¡ 1 < x < 1 ¯ > 0, where
® (¾ X ¯ ) = ¾ ¡ 1
X [ ¡ (3=¯ )
¡ (1=¯ ) ]1=2
and
C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ )
2¡ ( 1
¯ )
and ¡ (t) =
R1
0 e¡ uut¡ 1du.
The parameter ¾ X is the standard deviation and ¯
is the shape parameter It has been observed[5] that
with a shape parameter ¯ ranging from 0.5 to 1, we
can describe the the distribution of coefficients in a
subband for a large set of natural images.Assuming
such a distribution for the wavelet coefficients, we empirically
estimate ¯ and ¾ X for each subband and try
to find the threshold T which minimizes the Bayesian
Risk, i.e, the expected value of the mean square error.
- 2012-06-08 01:38:48下载
- 积分：1
