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Description: ual-Tree Complex Wavelet Transform Pack - version 4.3
Nick Kingsbury, Cambridge University, June 2003.
This pack (version 4.2) includes the following functions for performing
the Dual Tree Complex wavelet Transform on 1-D and 2-D signals-ual-Tree Complex Wavelet Transform Pack- Nick Kingsbury version 4.3. Cambridge University, health systems. This pack (version 4.2) includes the following functions for performing the Dual Tr ee Complex wavelet Transform on 1-D and 2-D sign als
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Author: 王僮 |
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Description: 这是一篇介绍二分树复数小波的文章，里面很详细的介绍了Dual tree complex wavelet transform。希望大家有帮助-two hours on the tree Complex Wavelet article there is a detailed introduction to the Dual tree complex wavelet transform . We hope help
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Size: 2026496 |
Author: lily |
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Description: 该源代码又称双树复小波变换源代码，它不仅具有Gabor变换的六个方向选择性，而且有更小的冗余度，对图像处理的同行们肯定有很大的价值，可直接下载使用。-The source code also known as the Dual-Tree Complex Wavelet Transform source code, it not only has the Gabor transform of the six direction selectivity, but also has a smaller redundancy of image processing colleagues certainly have great value, can directly download使用.
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Size: 1357824 |
Author: 黄荣兵 |
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Description: 对偶复树小波以及去噪，
包含1维二维三维的程序实现-Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program
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Size: 1821696 |
Author: li |
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Description: 双树复小波变换
Dual-Tree Complex Wavelet Transform Pack - version 4.3
Nick Kingsbury, Cambridge University, June 2003.
This pack includes the following functions for performing
the Dual Tree Complex wavelet Transform on 1-D and 2-D signals.
-Dual-Tree Complex Wavelet Transform Dual-Tree Complex Wavelet Transform Pack- version 4.3Nick Kingsbury, Cambridge University, June 2003.This pack includes the following functions for performingthe Dual Tree Complex wavelet Transform on 1-D and 2-D signals.
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Size: 96256 |
Author: stone |
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Description: 实现2维的图像表示，用这些算法来进行图像的表示及应用于图像去噪-realize dual tree complex packet transform
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Size: 333824 |
Author: 张钧芹 |
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Description: The dual-tree complex wavelet transform a new efficient tool for image restoration and enhancement
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Size: 250880 |
Author: cai |
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Description: 2-band discrete wavelet transform (DWT)
Dual-Tree Complex Wavelet Packet-The 2-band discrete wavelet transform (DWT) provides
an octave-band analysis in the frequency domain, but this
might not be ‘optimal’ for a given signal. The discrete wavelet
packet transform (DWPT) provides a dictionary of bases over
which one can search for an optimal representation (without
constraining the analysis to an octave-band one) for the signal
at hand. However, it is well known that both the DWT and the
DWPT are shift-varying. Also, when these transforms are extended
to 2-D and higher dimensions using tensor products, they
do not provide a geometrically oriented analysis. The dual-tree
complex wavelet transform (DT-CWT), introduced by Kingsbury,
is approximately shift-invariant and provides directional analysis
in 2-D and higher dimensions. In this paper, we propose a method
to implement a dual-tree complex wavelet packet transform (DTCWPT),
extending the DT-CWT as the DWPT extends the DWT.
To find the best complex wavelet packet frame for a given
signal, w
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Size: 4096 |
Author: 王方 |
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Description: Basic wavelet routines for time series (1D), image (2D) and array (3D) analysis. The
code provided here is based on wavelet methodology developed in Percival and Walden (2000)
Gencay, Selcuk and Whitcher (2001) the dual-tree complex wavelet transform (CWT) from
Kingsbury (1999, 2001) as implemented by Selesnick and Hilbert wavelet pairs (Selesnick
2001, 2002). All figures in chapters 4-7 of GSW (2001) are reproducible using this package and
R code available at the book website(s) below.-Basic wavelet routines for time series (1D), image (2D) and array (3D) analysis. The
code provided here is based on wavelet methodology developed in Percival and Walden (2000)
Gencay, Selcuk and Whitcher (2001) the dual-tree complex wavelet transform (CWT) from
Kingsbury (1999, 2001) as implemented by Selesnick and Hilbert wavelet pairs (Selesnick
2001, 2002). All figures in chapters 4-7 of GSW (2001) are reproducible using this package and
R code available at the book website(s) below.
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Size: 1160192 |
Author: Christian Hagglof |
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Description: 双树复数小波变换的Matlab程序的D部分，全部解压到同一个文件夹下后可直接调用函数-Dual-Tree Complex Wavelet Transform Matlab for the D part of the procedure, all extract to the same folder can be a direct call function
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Size: 13312 |
Author: suxiaoyuan |
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Description: DESCRIPTION:
This toolbox allows to decompose a signal via a dual-tree M-band wavelet analysis.
It consists of 2 subfolders:
1) dual_tree_1D: contains all the m-files for the dual-tree M-band transform.
2) filters: contains all the m-files to generate the filters.
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Size: 256000 |
Author: peng fen |
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Description: dual tree complex wavelet transform (DTCWT)construction and inverse of DTCWT
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Size: 81920 |
Author: Shahid Manzoor |
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Description: 该文章是剑桥大学nick g. kingsurf教授的关于双树复小波的资料-dual-tree complex vavelet transform matlab
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Size: 2026496 |
Author: 杨光 |
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Description: 对偶复树小波以及去噪， 包含1维二维三维的程序实现-Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program -The dual tree complex wavelet and denoising, including 1-dimensional 2D and 3D programs to achieve-Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program
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Size: 1821696 |
Author: gaoyuan |
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Description: In this paper, a multimodal image fusion algorithm based on multiresolution
transform and particle swarm optimization (PSO) is proposed.
Firstly, the source images are decomposed into low-frequency coefficients and
high-frequency coefficients by the dual-tree complex wavelet transform
(DTCWT). Then, the high-frequency coefficients are fused by the maximum selection
fusion rule. The low-frequency coefficients are fused by weighted average
method based on regions, and the weights are estimated by the PSO to gain
optimal fused images. Finally, the fused image is reconstructed by the inverse
DTCWT. The experiments demonstrate that the proposed image fusion method
can illustrate better performance than the methods based on the DTCWT, the
support value transform (SVT), and the nonsubsampled contourlet transform
(NSCT).
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Size: 40960 |
Author: ishwarya |
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Description: 双树复数小波变换的滤波程序,在所有小波变换的程序中，该程序采用双变量模型能很好完成去噪功能-dual-tree complex wavlet transform is a good inshift wavelet transform
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Size: 2134016 |
Author: 定军山 |
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Description: Images Compression Using Dual Tree Complex Wavelet Transform
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Size: 610304 |
Author: an |
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Description: 对偶树复小波变换程序代码，最近流行的双树小波程序。里面的数据参数自己更加需要修改！-Dual tree complex wavelet transform program code, the recently popular the Doubletree wavelet procedures. More need to modify the data parameters inside!
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Size: 72704 |
Author: tianluo |
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Description: 维双树复小波不确定度加权融合的人脸识别 王仕民 叶继华 邓涛 王明文 中国图象图形学报 2012-08-16 期刊-2 d dual tree complex wavelet uncertainty weighted fusion Wang Shimin face recognition Ye Jihua Deng Tao Wang Mingwen Chinese journal of image and graphics in 2012-08-16 journals
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Size: 301056 |
Author: 方方 |
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Description: 首先将非平稳的故障振动信号进行双树复小波包分解，得
到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量
进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实
现了故障特征信息的提取。-In view of the above situation, a new fault diagnosis
method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the
non-stationary fault signal is decomposed into several different frequency band components through dual-tree
complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each
component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is
bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity
between the component and the original signal at the same time, the correlation coefficient is bigger, the more
similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a
soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was
eliminated effectively, and the effective si
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Author: 侯蒙蒙 |
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