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icacombi

于 2020-10-16 发布文件大小:14KB

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程序包括EFICA，WASOBI及两者的结合，可以快速实现盲源分离。(The program includes EFICA, WASOBI and their combination, can quickly achieve blind source separation.)

文件列表：

icacombi
........\amuse.m,1477,2008-04-17
........\bksa.m,661,2008-04-15
........\combi.m,1790,2008-04-17
........\efica.m,16585,2007-02-07
........\ewasobi.m,16051,2007-02-13
........\ica_bksa.m,1423,2008-04-16
........\ica_cubica34a.m,1798,2008-04-17
........\SNR_Max.m,318,2008-04-16

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zy1
摘要该文主要考虑利用图像噪声再生技术来提取图像细节其思想是利用被滤除的噪声信号进行回收再利用通过对噪声信号和初步去噪信号进行小波变换比较它们的小波系数当噪声信号的小波系数达到一定的阈值时将噪声信号的小波系数保留叠加至初步去噪信号的小波系数然后利用传统的软阈值去噪的方法来进行图像的去噪从而达到既能够去除噪声又能保留图像细节的目的实验证明该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

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