标签: wavelets

Signal Denoising with Wavelets This numerical tour uses wavelets to perform signal denoising using thresholding estimators. Contents Installing toolboxes and setting up the path. Loading a Signal and Making Noise Hard Thresholding vs. Soft Thresholding Wavelet Denoising with Hard Thesholding Wavelet Denoising with Soft Thesholding Translation Invariant Wavelet Transform Translation Invariant Wavelet Denoising Installing toolboxes and setting up the path. You need to download the following files:   signal toolbox   and   general toolbox . You need to unzip these toolboxes in your working directory, so that you have   toolbox_signal   and   toolbox_general   in your directory. For Scilab user:   you must replace the Matlab comment '%' by its Scilab counterpart '//'. Recommandation:   You should create a text file named for instance   numericaltour.sce   (in Scilab) or   numericaltour.m   (in Matlab) to write all the Scilab/Matlab command you want to execute. Then, simply run   exec('numericaltour.sce');   (in Scilab) or   numericaltour;   (in Matlab) to run the commands. Execute this line only if you are using Matlab. getd = @(p)path(p,path); % scilab users must *not* execute this Then you can add the toolboxes to the path. getd( 'toolbox_signal/' ); getd( 'toolbox_general/' );