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- 采用haar小波实现一维信号的分解与重构（mallat算法）：-Used to achieve one-dimensional signal haar wavelet decomposition and reconstruction (mallat algorithm):
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- 采用haar小波实现二维图像的分解与重构（mallat算法）：-Two-dimensional image using haar wavelet decomposition and reconstruction (mallat algorithm):
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- 采用haar小波实现一维信号的分解与重构（à trous算法）：-Used to achieve one-dimensional signal haar wavelet decomposition and reconstruction (trous algorithm):
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- 采用haar小波实现二维图像的分解与重构（à trous算法）-Two-dimensional image using haar wavelet decomposition and reconstruction (trous algorithm)
xiaobozongjie
- 小波分析用于去噪,图像压缩，边界扭曲，分解与重构，图像融合，数字水印，边缘检测例子源码-Wavelet analysis for denoising, image compression, border distortion, decomposition and reconstruction, image fusion, digital watermarking, edge detection source code examples
DWT
- 用DWT实现二维小波变换 二维小波分解 重构图形与原始图像误值-With the realization of two-dimensional wavelet transform DWT wavelet decomposition of two-dimensional graphic reconstruction of the original image with the wrong value
mallat
- Mallat算法 应用Mallat算法实现两个正弦混合波的分解与重构,采用db30小波作为小波函数，阶数n=6-Mallat algorithm
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- 本文提出一种基于边缘自适应小波变换的多尺度图像修复算法，对非纹理图像有比较好的修复效 果。边缘自适应小波变换的基本思想是，先检测出图像的主要边缘，这些边缘把图像分割成几个平滑区，然后 对图像进行不跨越边缘的小波分解，即在各平滑区内部进行小波变换，得到图像的多尺度表示，并且同时计算 边缘的多尺度表示。这样的小波分解使高频信息基本都集中在边缘上，而高频系数则非常稀疏，而且都接近 于零。在此基础上进行图像修复，就只需要对低频部分与边缘图像进行修复，然后重构得到修复图像即可。 经过小
haar
- Haar小波的分解与重构,供大学学习小波使用-the decomposition and reconsitution of Haar wavelet
DWT
- 用DWT实现二维小波变换 二维小波分解 重构图形与原始图像误值-With the realization of two-dimensional wavelet transform DWT wavelet decomposition of two-dimensional graphic reconstruction of the original image with the wrong value
improved-OMP
- 改进的分块压缩感知程序，小波——分块压缩感知程序，对图像的分解与重构，效果一般，有待改进-Improved block compressed sensing program, wavelet - block compressed sensing program, the image decomposition and reconstruction, the general effect, could be improved
wave-denoise
- 程序利用小波分解将声音信号分解为高频与低频部分，而后利用软阈值方法确定高频与低频各自的小波重构系数，将高频与低频部分重构还原信号达到降噪的目的。-Program using wavelet decomposition sound signal into high and low parts, then use soft threshold method to determine the high and low frequency coefficients of each wavelet rec
Wavelet-reconstruction
- 小波的分解与重构_去噪。对含噪的信号去噪，实现信噪分离-Wavelet decomposition and reconstruction _ de-noising. Noisy signal de-noising, to achieve the signal to noise separation
matlab-6
- 【谷速软件】matlab源码-小波信号分解与重构-[Valley] matlab source software speed- wavelet signal decomposition and reconstruction
CS-denoising--wavelet-analysis
- 介绍了图像的小波分析的基本理论和基于小波变换的分解与重构原理，利用小波变换对二维图 像进行分解，将原始图像分解成不同方向、不同频率成份的子图像。同时对含噪图像进行小波分解,然后选 取适当的阈值,对小波分解系数进行阈值量化,再对高低频系数重构,实现图像的去噪。-Image compression and de-noising based on wavelet analysis
5_3xiaobo
- 使用matlab编写m文件，实现了5/3小波对图像进行分解与重构-Use matlab m file written to achieve a 5/3 wavelet image decomposition and reconstruction
HaarWare
- 基于哈小波的图像稀疏分解与重构。并进行MATLAB仿真。图像为经典lena图像-Image sparse decomposition and reconstruction based on wavelet. And the MATLAB simulation. The classic image to Lena image
haar
- 利用haar小波进行信号的分解与重构，并用来进行信号间断点的检测-Decomposition and reconstruction of signals by Haar wavelet, and used for signal discontinuity detection
WAVTILTDEMO
- 小波变换的分解与重构，利用小波变换实现对数据的压缩，去噪-Decomposition and reconstruction of wavelet transform, using wavelet transform to achieve data compression, denoising
dwt
- 利用dwt小波函数实现对数据的小波变换 分解与重构-Wavelet transform of data using DWT wavelet transform decomposition and reconstruction