Why does the signal become thicker after noise reduction and the dots on both sides diverge?

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Yi Ma 2024-9-12

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https://ww2.mathworks.cn/matlabcentral/answers/2152170-why-does-the-signal-become-thicker-after-noise-reduction-and-the-dots-on-both-sides-diverge

评论： Mathieu NOE 2024-9-24

I want to apply a voice noise reduction program similar to the one below to my own 1D signal, but I found that after noise reduction, the 1D signal becomes thicker and the points at both ends of the signal become divergent, and I can't find the cause of this phenomenon and how to fix it. Hope to get your help. Have a great day!

the program is that:

Dereverberate Speech Using Deep Learning Networks - MATLAB & Simulink - MathWorks 中国

my result is as follow:

the red is clean signal, the yellow is signal with noise, and the green is signal after denoisng.

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Mathieu NOE 2024-9-19

at least the two bottom plots from your yellow window seem just signal + white noise , no a reverb effect.

Are you sure you are using the right tool for the task ? there may be other ways to achieve your goal

very simple solution like smoothing (smoothdata.m) , polyfit or spline smoothing , or this (also usefull for 1D signal denoising) :

Surface Fitting using Neural Networks - File Exchange - MATLAB Central (mathworks.com)

Yi Ma 2024-9-19

2F8.mat

@Sumukh sure, the 1D signla as follow 2F8.mat, "R” is clean signal, "y" is signal with noise, and "z" is noise. Each column in R, y, and z is a signal.

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回答（1 个）

Mathieu NOE 2024-9-20

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2152170-why-does-the-signal-become-thicker-after-noise-reduction-and-the-dots-on-both-sides-diverge#answer_1520130

在 MATLAB Online 中打开

smoothn.m

hello again

you can already get decent results with smoothdata , other smoothing techniques based on splines or NN could also work

this is the 4th y data , processed with the code shown below :

for k = 1:4
    figure(k)
    ys1 = smoothdata(y(:,k),'sgolay',150);
    ys2 = smoothn(y(:,k),'robust');
    plot(y(:,k))
    hold on 
    plot(ys1)
    plot(ys2)
    legend('noisy signal','smoothdata','smoothn')
end

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Yi Ma 2024-9-24

编辑：Yi Ma 2024-9-24

yes, i have tried it as your method, the result is interesting. as the follows figures, only the second signal is perfect. i will to look at why this happens. This inspires me a lot, thank you very much!