Is there any other way than manually updating the noise parameter such that the algorithm re runs for every parameter and then plots the graph ?

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kitty varghese 2017-11-30

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评论： Stephen23 2017-12-12

I have the following code where the noise parameter changes in an interval of 0.01.I want to plot the graph without manually re-entering all the data.x axis will be 0.01-0.10 and y axis will be RMSE

    V_test=imnoise(V_test,'gaussian', *0.01*);%changing 0.01 till 0.10 
V_test = V_test - mean(V_test(:));
V_test = V_test / sqrt(mean(V_test(:).^2));
V_test = V_test + 0.25;
V_test = V_test * 0.25;
V_test = min(V_test,1);
V_test = max(V_test,0);

H_test=abs(randn(49,472)); %multiplicative step H_test = H_test.*(W_test'*V_test)./(W_test'*W_test*H_test + 1e-9); error=sum((V_test- W_test*H_test).^2)/(sum(V_test).^2); % Errors RMSE = sqrt(error);%store this value

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Stephen23 2017-11-30

编辑：Stephen23 2017-11-30

Do not use error as a variable name. error is a very important inbuilt function.

kitty varghese 2017-12-4

thanks.

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Answer 1

Stephen23 2017-11-30

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/370199-is-there-any-other-way-than-manually-updating-the-noise-parameter-such-that-the-algorithm-re-runs-fo#answer_293945

编辑：Stephen23 2017-12-12

在 MATLAB Online 中打开

Use a loop:

vec = 0.01:0.01:0.10; % or whatever step size you need.
out = nan(size(vec));
for k = 1:numel(vec)
    V_test = imnoise(V_test,'gaussian', vec(k));
    ... the rest of your code
    out(k) = sqrt(...);
end

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kitty varghese 2017-12-12

U missed ":" in your code i.e V_test = imnoise(V_test,'gaussian', : ) also, when I do this change I'm getting error msg "Undefined function or variable 'imnoise'"