Extracting (clearing) useful true data from a noisy temperature signal
2 Ansichten (letzte 30 Tage)
mehmet alper am 25 Jan. 2023
Hi everyone, I have a temperature sensor signal with peak values. Sensor was setted for 0-275 K and 150-900 for two step of measurement but real temperatures were really high. I purposed to measure cooled points with my sensor between the peaks. Thus, temperature curve contains cooled points between the peaks. Many piece of frame after peaks, temperature getting down slowly relative to increasing of peaks and this cooled temperature trend is changing till the last frame.My point is acquiring this cooled temperature points between peaks. I called high temperature peaks as maximum pekas and low temperature peaks as min peaks. I tried findpeaks, localmax commands but I have to come up with a smart algorithm because peak widths are changing firstly at 381000th frame, secondly 445500th frame. I also attached data file with figure version of data file. How can I extract this cooled points along the frame? Are there anyone who can help me??
Here the link of .mat and .fig file;
I tried all combinations of findpeaks, locmin or locmax commands.
Image Analyst am 25 Jan. 2023
Looks like you want to extract data only where the local range in y values is low. Here's a start:
s = load('temps3-combinedloandhi.mat')
t = s.sumlohi;
x = 1 : numel(t);
subplot(3, 1, 1);
plot(x, t, 'b.-')
% Filter data
windowWidth = 181;
tMax = movmax(t, windowWidth);
tMin = movmin(t, windowWidth);
tRange = tMax - tMin;
subplot(3, 1, 2);
title('Plot of the local y ranges')
% Plot histogram of local ranges.
subplot(3, 1, 3);
title('Histogram of local range')
% Find where range is low.
mask = tRange < 10;
% Extract only data where the local range is low.
x2 = x(mask);
t2 = t(mask);
subplot(3, 1, 1);
plot(x2, t2, 'r-')