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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
Update : 2025-02-17 Size : 73kb Publisher : 王僮

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
Update : 2025-02-17 Size : 1.93mb Publisher : lily

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.
Update : 2025-02-17 Size : 1.29mb Publisher : 黄荣兵

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
Update : 2025-02-17 Size : 1.74mb Publisher : li

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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.
Update : 2025-02-17 Size : 94kb Publisher : stone

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
Update : 2025-02-17 Size : 326kb Publisher : 张钧芹

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The dual-tree complex wavelet transform a new efficient tool for image restoration and enhancement
Update : 2025-02-17 Size : 245kb Publisher : cai

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
Update : 2025-02-17 Size : 4kb Publisher : 王方

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.
Update : 2025-02-17 Size : 1.11mb Publisher : Christian Hagglof

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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
Update : 2025-02-17 Size : 13kb Publisher : suxiaoyuan

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.
Update : 2025-02-17 Size : 250kb Publisher : peng fen

dual tree complex wavelet transform (DTCWT)construction and inverse of DTCWT
Update : 2025-02-17 Size : 80kb Publisher : Shahid Manzoor

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
Update : 2025-02-17 Size : 1.93mb Publisher : 杨光

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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
Update : 2025-02-17 Size : 1.74mb Publisher : gaoyuan

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).
Update : 2025-02-17 Size : 40kb Publisher : ishwarya

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
Update : 2025-02-17 Size : 2.04mb Publisher : 定军山

Images Compression Using Dual Tree Complex Wavelet Transform
Update : 2025-02-17 Size : 596kb Publisher : an

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!
Update : 2025-02-17 Size : 71kb Publisher : tianluo

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
Update : 2025-02-17 Size : 294kb Publisher : 方方

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
Update : 2025-02-17 Size : 1.11mb Publisher : 侯蒙蒙
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