搜索资源列表
dwtwav
- 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-
DTCWT
- 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.
2ddwt二维离散db小波.rar
- 小波变换子程序,Wavelet Transform Subroutine
dtcwt_toolbox4_3
- One of the advantages of the dual-tree complex wavelet transform is that it can be used to implement 2D wavelet transforms that are more selective with respect to orientation than is the separable 2D DWT. There are two versions of the 2D dual-tr
wavelet
- 利用递归迭代法构造多小波基的matlab源码及实现多小波分解2-D图像-Recursive iterative method to construct multi-wavelet basis matlab source code and to achieve more than 2-D image wavelet decomposition
wavelet_transformation
- 简单的小波压缩变换工作的原理如下: 信号和求导信号,形成的求同信号序列和求导信号序列的长度均为输入信号的长度的一半.如果输入信号序列是A={a(1),...,a(n)}求同信号S={s(1),...,s(n/2)}和求异信号D={d(1),...,d(n/2)}的计算方式为: for i=1,...,n/2 s(i)=a(2*i-1)+a(2*i) d(i)=a(2*i-1)-a(2*i) 例如输入信号是: 5,2,3,2,5,7,9,6
Multiwavelet
- 2-D multi-wavelet construction and implementation
2D_wavelet_transform
- 2D wavelet transform
multi_basis_wavelet_image
- 采用多种小波基实现了2维图像的小波变换，可以用来比较不同小波基的变化特性-Achieved using a variety of wavelet transform 2-D images that can be used to compare changes in properties of different wavelets
zhouliu
- A VLSI Architecture for the 2-D Discrete Wavelet Transform
DWT_2D
- 本程序用DWT实现二维小波变换,进行二维小波分解并显示分解结果。-Mallat algorithm for 2-D wavelet transform. M-file Download
Remote-sensing
- GRS上2011年一篇关于使用方向小波变换对遥感图像进行压缩的程序-In this paper, a 2-D oriented wavelet transform (OWT) is introduced for effi cient remote-sensing image compression.
Analysis-and-VLSI-Architecture-for-1-D-and-2-D-Di
- Analysis of 1D and 2D wavelet transformations.
wavelet_wx
- （1.）二维信号的小波分解。选择一个小波和小波分解的层次N，然后计算信号s到第N层的分解。 （2）对高斯系数进行阈值量化。对于从1到N的每一层，选择一个阈值，并对这一层的高斯系数进行软阈值量化处理。 （3）二维信号的重构。根据小波分解的第N层的低频系数和经过修改的从第1层到第N层的各层高频系数计算二维信号的小波重构。 -(1) 2 d signal wavelet decomposition. Choose a wavelet and wavelet decomposition le
2DDWT
- 复杂的二维双树离散小波变换(DWT)同样也引起了小波在六个不同的方向,但是,在这种情况下有两种小波在每个方向将如下所示。在每一个方向,一个两个小波可以被解释为一个复数的真实部分2 d小波,而其他小波可以被解释为一个复数的虚部2 d小波。因为复杂的版本有两倍的小波作为真正的版本的转换、复杂的版本是4次膨胀。复杂的二维双树被实现为四个严格采样可分二维DWTs操作在并行。然而,不同的过滤器集一起使用的行和列。正如在现实情况下,金额和不同的子带图像进行小波得到定向。复杂的二维双树DWT的图像x是由以下函