Description: 多小波已成为小波理论研究的热点之一,它是用多个小波函数和多个尺度函数来表示信号的。文献[1]用分形内插函数构造了第一个多小波,称为GHM多小波。-Multiwavelet wavelet theory has become a hot one, it is more than wavelet function and a number of scaling function to indicate signal. [1] using fractal interpolation function is the first of a multi-wavelet, as GHM Multiwavelets. Platform: |
Size: 38912 |
Author:丽霞 |
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Description: 本程序是基于LeventCode平台作的。包括以下方法:BivaShrink方法、模型1、模型2、模型3(TrivaShrink方法)、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现-This procedure is based on the platform for LeventCode. Including the following methods: BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink methods, LAWMLShrink methods DWT realize and realize DT_CWT Platform: |
Size: 1024 |
Author:clw |
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Description: 本程序是基于WaveLab802平台作的。
包括 VisuShrink方法、SUREShrink方法、BayesShrink等方法。噪声方差大小和小波可以自行设定。-This procedure is based on the platform for WaveLab802. VisuShrink methods including, SUREShrink methods, BayesShrink and other methods. Size and wavelet noise variance can be set. Platform: |
Size: 1024 |
Author:clw |
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Description: 自己编写的小波去噪原程序,使用的是轶值降噪的方法,和大家一起学习一下。-I have written the original wavelet denoising procedure, using a method of noise reduction Yi value, and the community together to learn about. Platform: |
Size: 21504 |
Author:wudh |
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Description: 基于WaveLab802平台作的程序包括以下方法:VisuShrink方法、SUREShrink方法、BayesShrink方法、AdaptBayesShrink方法、 LAWMLShrink方法。 基于LeventCodes平台作的程序 包括以下方法: BivaShrink方法、模型1、模型2、模型3(TrivaShrink方法)、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现。
-Based on the procedures for WaveLab802 platform includes the following methods: VisuShrink methods, SUREShrink methods, BayesShrink methods, AdaptBayesShrink methods, LAWMLShrink method. Based on the procedures for LeventCodes platform includes the following methods: BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink methods, LAWMLShrink methods DWT realize and realize DT_CWT. Platform: |
Size: 11264 |
Author:高贯涛 |
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Description: 主要介绍了VC2005与Matlab7.4(2007a)混编的配置方法,基本的实现例子与需要注意的地方-VC2005 with the introduction of the main Matlab7.4 (2007a) mixed configuration methods, examples and realize the basic need to pay attention to places Platform: |
Size: 9216 |
Author:huang |
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Description: 掛恅璃標腔最唗岆價衾LeventCodes 怢釬腔﹝
婦嬤眕狟源楊ㄩ
BivaShrink源楊﹜耀倰1﹜耀倰2﹜耀倰3ㄗTrivaShrink源楊ㄘ﹜BayesShrink源楊﹜
LAWMLShrink源楊腔DWT妗珋睿DT_CWT妗珋﹝
-Standard text linked cavity glass唗Did the price of quilt filler cavity LeventCodes ﹝怢Here' s the source of women' s mamma BivaShrink source Yang Yang To:倰1)) Yiu Yiu Yiu倰2) TrivaShrink source倰3 ㄗ ㄘ Yang Yang) BayesShrink source) LAWMLShrink source Yang Rui珋cavity DWT wife of mother' s brother wife of mother' s brother DT_CWT ﹝珋 Platform: |
Size: 66560 |
Author:陳大呆 |
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Description: 是基于LeventCodes平台作的。BivaShrink方法、模型1、模型2、模型3(TrivaShrink方法)、BayesShrink方法、
LAWMLShrink方法的DWT实现和DT_CWT实现。
-Is made based on LeventCodes platform. BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink method, LAWMLShrink method of DWT implementation and DT_CWT achieve. Platform: |
Size: 19456 |
Author: |
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Description: 本程序是基于LeventCode平台作的。
---包括以下方法:
BivaShrink方法、模型1、模型2、模型3(TrivaShrink方法)、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现。-This procedure is based on the LeventCode platform for the. --- Including the following methods: BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink method, LAWMLShrink method of DWT implementation and DT_CWT achieve. Platform: |
Size: 1024 |
Author:张镖 |
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Description: 本文件夹的程序是基于WaveLab802平台作的。
包括以下方法:
VisuShrink方法、SUREShrink方法、BayesShrink方法、AdaptBayesShrink方法、
LAWMLShrink方法。-The program in this folder the is based WaveLab802 platform.
Including the following methods:
The method VisuShrink, SUREShrink methods, BayesShrink methods, AdaptBayesShrink method
LAWMLShrink method. Platform: |
Size: 7168 |
Author:Diana |
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Description: 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.-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. Platform: |
Size: 13753344 |
Author:mik |
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Description: ---本程序是基于WaveLab802平台作的。
---包括以下方法:
VisuShrink方法、SUREShrink方法、BayesShrink方法、AdaptBayesShrink方法、LAWMLShrink方法、BivaShrink方法、模型1、模型2、模型3(TrivaShrink方法)、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现- --- This procedure is based on the WaveLab802 platform. --- Including the following methods: the VisuShrink method, SUREShrink methods, BayesShrink method, AdaptBayesShrink method, LAWMLShrink method. Platform: |
Size: 2048 |
Author:ruby |
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