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matlabwaveletthreshod
- 小波阈值去噪 软阈值去噪和硬阈值去噪的比较-Wavelet thresholding soft thresholding and hard thresholding comparison
WaveletDenoise
- 本设计基于小波变换法对语音信号进行去噪处理，得到了较好的语音增强效果-The design is based on wavelet transform denoising the speech signal to obtain a better speech enhancement
wavelet_code
- 这是《小波分析理论与MATLABR2007实现》的源代码。主要是基于Matlab的小波工具箱实现小波基选择、小波包分解、Mallat变换以及小波变换在边缘提取、图像去噪、数据压缩等中的应用，特别包含了二代提升小波的相关内容，理论与实际相结合。大家想要了解的二进小波、正交镜像滤波器组[QMF]等概念这里都有体现。-This is 《MATLABR2007 wavelet analysis theory and implementation》 of the source code. Mainly
liftingwavelet
- 一种新的基于小波变换的阈值降噪方法介绍，并更传统阈值方法进行了比较-A new opportunity for the threshold wavelet transform denoising method introduction
3445567
- 这个文件中内容为基于小波包的图像去噪程序-wavelet package denoising
041010
- matlab环境下关于数字信号处理的一些程序，主要是利用小波变换的去噪程序-matlab environment about a number of digital signal processing procedures, mainly the use of wavelet transform de-noising procedures
a2
- 传统小波阈值去噪法 小波阈值收缩法去噪的主要依据是：小波变换特别是正交小波变换具有很强的去数据相关性，它能够使图像的能量在小波域集中在一些大的小波系数中；而噪声的能量却分布于整个小波域内，因此，经小波分解后，图像的小波系数幅值要大于噪声的系数幅值，可以认为，幅值比较大的小波系数一般以图像信号为主，而幅值比较小的小波系数在很大程度上是噪声。于是采用阈值的办法可以把信号系数保留，而使大部分噪声系数减少至零[-Study on Algorithm of Image Denosing Based o
Untitled2
- 小波滤波，可用于心电信号、脉搏波信号的滤波-Wavelet filtering, can be used for ECG, pulse wave signal filtering
AdvSigProcessing
- 小波变换 去噪 VI实例可用于教学实验和技术开发-Examples of wavelet transform de-noising VI can be used in teaching experiments and technological development
dualtree_dwt
- 双数复小波变换及其图像去噪算法-Double the number of complex wavelet transform and image denoising algorithm. . . .
xiaoboquzao
- 基于小波变换的信号去噪研究-Signal Based on Wavelet Transform Denoising ..................
tt
- 基于小波变换的阈值去噪，对含噪声图像进行阈值去噪-Threshold based on wavelet transform denoising of images with noise threshold denoising
chuli
- 用cdf 9/7 小波分解和重建二维图像，若在中间加上适当的处理过程，则可实现对图像的去噪处理。-With cdf 9/7 wavelet decomposition and reconstruction of two-dimensional image, if in the middle combined with the appropriate processing can be achieved to address the image denoising.
xiaobobianhuantux
- 小波变换是一种快速发展和比较流行的信号分析方法, 其在图像处理中有非常重要的应用, 包括图像压缩, 图像去噪, 图像融合, 图像分解, 图像增强等。小波分析是傅立叶分析思想方法的发展与延拓。除了连续小波 (CWT)、离散小波(DWT), 还有小波包avelet Packet)和多维小波。本文主要介绍小波变换的发展及其在图像处理、的应用-Wavelet transform is a fast-growing and more popular method of signal analysis,
wavelet_soft_threshold
- 小波变换软阈值去噪。采用阈值去噪时会产生振荡现象，而软阈值去噪可将图像变得较为平滑。-Soft-threshold wavelet de-noising. Threshold denoising using produces oscillation, while the soft-threshold denoising may become more smooth images.
mulwave
- 此函数基于二进小波的分解、重构的图像去噪-This function is based on the dyadic wavelet decomposition, reconstruction of the image denoising
antinoise
- 用MATLAB实现的图像去噪，用了多层小波分解-Achieved using MATLAB image denoising using a wavelet decomposition of multi-storey
test2_wavelet_decomposing
- 用两种方法做边缘检测并对比其效果：传统算子和小波分解去噪后得到的近似系数图像后提取边缘-Two ways to do edge detection and contrast the effect: the traditional operator and after denoising wavelet decomposition coefficients of the approximate image after the edge extraction
denoise
- 该程序采用基于邻域阈值分类的小波变换去噪算法，比传统的去噪算法效果更好，对理解小波变换去噪算法有很大帮助-The program neighborhood-based classification threshold wavelet de-noising algorithm, than the traditional de-noising algorithm is better to understand the wavelet transform denoising algorithm are
anisodiff
- 将小波和各向异性扩散结合，对超声图像进行去噪。效果较好-The combination of wavelet and anisotropic diffusion for ultrasonic image denoising. Better