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Comparison of waveforms with Savitzky-Golay filter

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Vince Roman
Vince Roman am 29 Jan. 2015
Kommentiert: Vince Roman am 29 Jan. 2015
Hi,
I have managed to produce the plot of different filters on the same noisy signal. I would like to be able to compare each smoothed signal with the noisy signal. However I think the way I am running the codes I am over writing the previous smoothing filter and just plotting the results. Will this affect the comparison when I choose to compare the noisy signal with any of the filters?
This is how I currently run the codes:
load 'SineNoise'
Filter1
Filter2
Filter3
Filter4
Filter5
Plot
1) load 'SineNoise'
- This is the same from previous post
2) Filter1
N = 2; % Order of polynomial fit 2,4,6,8
F = 11; % Window length 11,23,35,47,59
[b,g] = sgolay(N,F); % Calculate S-G coefficients
HalfWin = ((F+1)/2) -1;
for n = (F+1)/2:(length(x)-5)-(F+1)/2,
% Zeroth derivative (smoothing only) SG0(n) = dot(g(:,1),y(n - HalfWin:n + HalfWin)); end
%Plot against x 0,0.1,0.2,....,
plot(x(1:length(SG0)),y(1:length(SG0)));
hold on
plot(x(1:length(SG0)),SG0','y','LineWidth',2.5);
3) Filter2 to Filter5 are pretty much the same except for the F value changing.
N = 2; % Order of polynomial fit 2,4,6,8
F = 23; % Window length 11,23,35,47,59
[b,g] = sgolay(N,F); % Calculate S-G coefficients
HalfWin = ((F+1)/2) -1;
for n = (F+1)/2:(length(x)-5)-(F+1)/2,
% Zeroth derivative (smoothing only) SG0(n) = dot(g(:,1),y(n - HalfWin:n + HalfWin)); end
%Plot against x 0,0.1,0.2,....,
plot(x(1:length(SG0)),SG0','m','LineWidth',2.5);
4) Plot - changing the axis and background colour aswell as legend
axis ([480 520 -20 20]); %changes view of axis to certain limits
legend('Noisy data','Filter1', 'Filter2', 'Filter3', 'Filter4', 'Filter5')
set(gca,'Color',[0.8 0.8 0.8]); %changes background colour to grey
ylabel('Noisy Signal')
I am just curious if it's possible when comparing the filter with the noisy signal to do something like this: Difference between the filter and the noise for each data point at a certain range (say from 480-520) and the average between the two. I am basically just looking for a number or a percentage difference between the two waveforms.
Or is there another/better way to compare the waveforms?
Thanks

Akzeptierte Antwort

Image Analyst
Image Analyst am 29 Jan. 2015
There are several ways, such as RMS, mean absolute difference, PSNR, etc. Sounds like you're mostly describing the mean absolute difference. I suppose it's as good a way as any. It should work for your purposes, I would guess.
  1 Kommentar
Vince Roman
Vince Roman am 29 Jan. 2015
How could I apply it within the codes shown above. I use it after I apply a filter at a time?

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