源码文件
Image Denoising with Linear Methods
Gaussian+noise 源代码
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%DEMGPARD Demonstrate ARD using a Gaussian Process. % % Description % The data consists of three input variables X1, X2 and X3, an…
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% % FUNCTION 8.2 : "cp0801_Gnoise1" % % Introduces additive white Gaussian noise over signal % 'input'. % Vector 'ebno' cont…
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% % FUNCTION 8.3 : "cp0801_Gnoise2" % % Introduces additive white Gaussian noise over signal % 'input'. % Vector 'exno' conta…
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function noise=noisecg(N,a1,a2) %NOISECG Analytic complex gaussian noise. % NOISE=NOISECG(N,A1,A2) computes an analytic complex ga…
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function noise=noisecg(N,a1,a2) %NOISECG Analytic complex gaussian noise. % NOISE=NOISECG(N,A1,A2) computes an analytic complex ga…
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function noise=noisecg(N,a1,a2) %NOISECG Analytic complex gaussian noise. % NOISE=NOISECG(N,A1,A2) computes an analytic complex ga…
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function [X,gnd_X] = gencircledata(Center,R,num_data,dev) % GENCIRCLEDATA Generates data on circle corrupted by Gaussian noise. …
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% makenoise.m % written by: Duncan Po % Date: August 24, 2002 % Generate additive Gaussian noise and add the noise to an image % T…
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function X=generate_image_noise(X, noiseLevel) % Generate Gaussian noise noise = noiseLevel*(rand(size(X))-0.5*ones(size(X))); X…