Is there a way to Un-clip a sine wave?
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I have a pile of data from a sensor and the sensor is getting maxed out. However, I knwo the data SHOULD be a sine wave and the top/bottom is only getting clipped off due to the sensor's limits. Is there a way to write an Mcode that will restore or unclip the sine wave?
I attached the worst of the data. As you can see in the third column, before you even bother to graph it, it's slamming into the top and bottom of the scale repeatedly.
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Bjorn Gustavsson
2019 年 10 月 17 日
You can do something like this:
sfcn = @(t,pars) pars(1)+pars(2)*sin(pars(3)*t+pars(end)); % sine-like function with offset and phase-shift
fitfcn = @(pars,y,t,sfcn) sum(( sfcn(t,pars) - y).^2); % Sum-of-square function
Clipped3 = clipped(:,3); % Your thirs column
t = 1:numel(Clipped3); % Some time-array for uniformly sampled data
% Identify your clipped data points:
iBad = find(Clipped3>290|Clipped3<2);
Clipped3(iBad) = []; % Cut those points out
t(iBad) = []; % from data and time-array
pars0 = [150,500,2*pi/(46.7),pi/2];
% this fitting is painfully sensitive to bad start-guess so the above line
% we set the average at 150, the oscillating amplitude to 500, and the angular
% frequency to fit with a period-time of 46-47 time-steps, and the phase-shift
% to pi/2 since your data starts at a peak not a zero
% Fit by minimizing sum of squared residuals:
parsOK = fminsearch(@(pars) fitfcn(pars,Clipped3,t',sfcn),pars0)
%parsOK =
% 166.1 240.25 0.13416 1.7285
plot(clipped(:,3),'b-') % initial curve
hold on
plot(t,Clipped3,'b.') % unclipped points
% Residuals:
plot(t,Clipped3'-sfcn(t,parsOK),'r.')
% Well-fitting sinusoidal curve
plot(t(1):t(end),sfcn(t(1):t(end),parsOK),'r')
HTH
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