Grouping using for loops (signal processing)
1 view (last 30 days)
Show older comments
I am working with a signal data that consist of consecutive dips as shown below. I am only interested in the portion of the signal that lies below a certain point d (the red line). I am trying to write a code which sorts the contents of each dip into one separate group.
And here is the grouping that I need:
For instance, the following code is one of my attempts which didn't work. It generates 310 groups instead of the desired 12 groups.
k=0; % Group number
for i = 1 : length(signal)
if signal(i) < d
k=k+1;
while signal(i) < d
NewSignal(i, k) = signal(i);
i = i + 1;
end
end
end
Any explanations or suggestions would be greatly appreciated.
P. S. I've included an attachement of my data which can be accessed as follows:
M = csvread('DS0007.csv');
time = M(:,1)*1.00e-03;
waveform = M(:,2)*2.00e-01;
waveform = sgolayfilt(waveform,9,21);
3 Comments
dpb
on 27 Apr 2019
You're already using it...
>> which sgolayfilt
C:\ML_R2017\toolbox\signal\signal\sgolayfilt.m
>>
But, it appears the signal is noise-free enough that it shouldn't be hard to find the locations with a much larger difference between ordinal positions than the next point once you've separated out those less than the threshold.
Use find to return the positions from the logical vector
ix=find(waveform<d);
peakarray=waveform(ix);
dx=diff(ix);
Answers (0)
See Also
Categories
Find more on Get Started with Signal Processing Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!