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Implementation of a check for invertibility and another test routine that does denoising with hard-thresholding. -Wavelet denoising
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A New Wavelet Based Method for Denoising of Biological Signals
shrinkage method based on a New Thresholding filter for denoising of biological signals is proposed
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小波去噪的仿真研究
：介绍了小波软门限和硬门限法上嗡的处理方法．分析了采用不同的小波进行软门限去噪的效果，比较了软门限去噪和硬门
限去噪的特点。仿真结果表叫，对高斯白噪声的上哚处理，选用c1b8小波比用symI和haar小波町以得到更好的去噪效果，
软门限法优于硬门限法-Simulation Study of Wavelet Denoising: The wavelet soft threshold and hard thresholding approach on the hum.
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贝叶斯小波去噪是基于小波变换得软阈值贝叶斯去噪算法。-Bayesian wavelet denoising is wavelet-based Bayesian denoising was soft-thresholding algorithm.
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非线性微分跟踪，用小波变换实现阈值去噪，本论文用液压活套张力系统角加速度的计算-Nonlinear differential tracking, wavelet transform thresholding
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方波信号削噪，用sym8小波进行三层分解并用heursure软阈值进行小波系数阈值化-Cut a square wave signal noise, three with sym8 wavelet decomposition and use heursure soft threshold wavelet coefficients thresholding
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保留了大部分包含信号的小波系数,因此可以较好地保持图象细节。小波分析进行图像去噪主要有3个步骤:(1)对图象信号进行小波分解。(2)对经过层次分解后的高频系数进行阈值量化。(3)利用二维小波重构图象信号。-Retained most of the wavelet coefficients that contains the signal, so you can maintain better image details. Wavelet analysis for image denoising
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将小波相邻系数相关性的降噪思想引入到冗余第2代小波中，提出了基于邻域相关性的冗余第2代小波降噪方法，该方法克服了传统阈值降噪没有考虑小波系数之间相关性的不足。-Aiming at fault feature extraction in the background of strong noise, a wavelet denoising idea by incorporating neighboring coefficients is introduced into redundant seco
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小波去噪算法，包含多种小波去噪去噪，强制去噪、软阈值去噪、硬阈值去噪-Wavelet denoising algorithm that contains a variety of wavelet denoising denoising forced denoising, soft thresholding and hard threshold denoising
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文基于小波分析的特点，提出了一种对信号进行多重小波
变换的自适应去噪法，该方法不仅克服了小波去噪软硬阈值法的局限性，而且解决了自适应滤波中参考信号选取难的
问题，将该方法用于脉搏信号降噪，得到了满意的去噪效果。-The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only
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baythresh_jp Bayes thresholding of wavelet coe-baythresh_jp Bayes thresholding of wavelet coeff
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对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). -Two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or
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二维离散小波变换(Mallat快速算法)对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR).
数据：灰度图像lena.bmp或其它图像, 滤波器系数可以调用matlab中的wfilters函数获得, wfilters函数的使用请在matlab中help wfilters.-Two-dimensional discrete wavelet transform (Ma
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bayes shrink is a thresholding method in wavelet based denoising of images
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Signal denoising using HAAR wavelet transform with thresholding
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小波分解，提取系数，以及各种不同阈值去噪方法，比较全面，可以参考一下-Wavelet decomposition, extraction coefficient, and a variety of different thresholding methods, more comprehensive, you can refer to
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地震信号处理当中应用小波去除面波干扰，小波变换后进行阈值处理，反变换之后得到面波压制后的地震信号-Surface wave seismic signals obtained after the seismic signal processing to suppress them after removing the surface wave interference wavelet, wavelet transform thresholding, anti transformed
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Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noi
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利用聚类算法和小波分析进行声发射信号的阈值去噪
-The use of clustering algorithms and thresholding wavelet analysis of acoustic emission signals
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这个程序再matlab2012b版本上调试成功，以前在毕业设计的时候在网上找到的资料，希望对大家有用，基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面，用matlab语言编写代码，实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等-This program debug version then matlab2012b success in graduate design information
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