How to cut out specific segment from findpeaks function?
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Hi All,
I am trying to figure out how to cut out the specific segment of the signal where I draw the border using findpeaks function.
I am using example of findpeaks link below:
x = linspace(0,1,1000);
Pos = [1 2 3 5 7 8]/10;
Hgt = [4 4 2 2 2 3];
Wdt = [3 8 4 3 4 6]/100;
for n = 1:length(Pos)
Gauss(n,:) = Hgt(n)*exp(-((x - Pos(n))/Wdt(n)).^2);
end
PeakSig = sum(Gauss);
plot(x,Gauss,'--',x,PeakSig)
grid
Then, using findpeaks function,
findpeaks(PeakSig,x,'Annotate','extents','WidthReference','halfheight')
title('Signal Peak Widths')
I want to cut the segment of the border into 3 segment.
The method I am thinking is find the X value corresponding the Y value, which is not an effective way to do it.
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채택된 답변
Star Strider
2019년 2월 8일
You can get the ‘Borders’ x-coordinates using:
(Previous Code)
findpeaks(PeakSig,x,'Annotate','extents','WidthReference','halfheight')
title('Signal Peak Widths')
Ax = gca;
Kids = Ax.Children;
Borders = Kids(1:2);
Line = Borders.XData;
You have to search the ‘Axes.Children’ result manually to find the ‘(Border)’ elements. There appears to be no way to get them automatically, or even to specifically search for a ‘Line (Border)’ or ‘Border’ entry in the ‘Kids’ variable. (There may be a way, but it would take more patience than I have tonight to find it. I’ve tried every cell and structure addressing approach I can think of or can find in the documentation, including using strcmp and related functions, and couldn’t get a good result.) It would be very nice if this was more straightforward.
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Star Strider
2019년 2월 14일
‘I am not sure can I plot only specific range and then find the pks in that specific range?’
You can. Starting with:
[pks,locs] = findpeaks(-avSpots,year)
(or something similar) then calculate the indices as as:
idx = find((year >= yr1) & (year <= yr2));
where ‘yr1’ is the beginning year and ‘yr2’ is the end year, then analyse your data as:
spots_sub = avSpots(idx);
year_sub = year(idx);
That should work (I did not test it).
추가 답변 (3개)
Giacomo Echevers
2022년 1월 18일
Well, I kind of needed exactly this feature so I ventured and fought with the findpeaks code, luckily I found what I needed. I attached the modified version of the findpeaks function (now called Findpeaks.m).
Note: It seems that because MATLAB recognized that this is a custom function, the plotting features are not working, but that's no issue, because you can simply use the orginial function and that'll do, this mod is just to extract the x position for the borders.
I'm going to include here a small example using the previous presented case.
x = linspace(0,1,1000);
Pos = [1 2 3 5 7 8]/10;
Hgt = [4 4 2 2 2 3];
Wdt = [3 8 4 3 4 6]/100;
for n = 1:length(Pos)
Gauss(n,:) = Hgt(n)*exp(-((x - Pos(n))/Wdt(n)).^2);
end
PeakSig = sum(Gauss);
findpeaks(PeakSig,x,'Annotate','extents','WidthReference','halfheight');
Now, let's use the modified version of the findpeaks function to get the borders x values. Please note the use of the pair parameters 'BorderExtraction' and logical 1. Basically, logical 1 to get the x values for borders in the loc output variable position and logical 0 to tell it to behave exactly the same as the original findpeaks function.
[~,X] = Findpeaks(PeakSig,x,'Annotate','extents','WidthReference','halfheight','BorderExtraction',1)
And now let's use this to get the second peak just for fun.
plot(PeakSig(x>=X(2) & x<=X(3)))
Hope this helps
A94 out.
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Image Analyst
2022년 1월 18일
Helps me anyway. I never knew findpeaks() had those nice annotation lines available for display.
Giacomo Echevers
2022년 1월 18일
Glad to hear that! Just noticed those borders, literally yesterday and got quite triggered that it didn't have a native way to extract those x coordinates.
João
2019년 2월 7일
Try this,
[pks,locs] = findpeaks(PeakSig,x,'Annotate','extents','WidthReference','halfheight')
The variable locs have the indexes of the peaks found. Use them like this to remove a specific peak (your case the third):
PeakSig(locs(3)) = [];
댓글 수: 3
João
2019년 2월 8일
I didn't notice your were using x in findpeaks. You need to find the index that corresponds to locs. Do it like this then:
[pks,locs] = findpeaks(PeakSig,x,'Annotate','extents','WidthReference','halfheight')
peakToFind = 1; % the peak you want to delete (in this case the first one)
% where you get the postion in x corresponding to locs
idx_x = find(x==locs(peakToFind));
PeakSig(idx_x) = [];
Image Analyst
2019년 2월 9일
The borders appear to be available in findpeaks() at line 558 (in R2018b version):
% get the x-coordinates of the half-height width borders of each peak
[wxPk,iLBh,iRBh] = getPeakWidth(yFinite,x,iPk,bPk,iLB,iRB,refW);
See it with edit, then search for border
>> edit findpeaks.m
Make a copy of findpeaks.m and call it findpeaksandborders() in some utilities folder on your path with all your other m-files. BE SURE NOT TO ALTER THE ORIGINAL ONE!!!
Then have findpeaksandborders() return the borders (iLB and iRB) in the list of output arguments.
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