Program for MAX & MIN

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DP
DP 2019-10-25
评论： Rena Berman 2019-12-12
This code not giving me maximum,minimum value and index that i am looking for. so i want the 3 maximum and 2 minimum values and index that will be same as plot figure.
and this new code will true for any TT array
close all;
TT = [ 50 0 136 30 80 59 59 229 59 20 152 69 72 120 36 233 2 8 52 156 20 30 119 5 101 177 50 25 209 33 96 67 68 125 67 100 127 83 95 88];
NN = 1:1:40;
figure (1)
stem (NN,TT);
D = movmean (TT,5);
figure (2)
plot (NN,D)
%% threeMax and twoMin will be used to store the max and min values
threeMax = zeros(1,3);
twoMin = 100*ones(1,2);
max1index = 0;
max2index = 0;
max3index = 0;
min1index = 0;
min2index = 0;
%% loop logic to rank largest 3 elements in descending order
for i = 1:1:length(D)
if D(i) > threeMax(1)
threeMax(3) = threeMax(2);
max3index = max2index;
threeMax(2) = threeMax(1);
max2index = max1index;
threeMax(1) = D(i);
max1index = i;
elseif D(i) > threeMax(2)
threeMax(3) = threeMax(2);
max3index = max2index;
threeMax(2) = D(i);
max2index = i;
elseif D(i) > threeMax(3)
threeMax(3) = D(i);
max3index = i;
else
end
end
%% loop logic to locate the 2 smallest nonzero elements
for i = 1:1:length(D)
if D(i) < twoMin(1) && D(i) > 0
twoMin(1) = D(i);
min1index = i;
elseif D(i) < twoMin(2) && D(i) > 0
twoMin(2) = D(i);
min2index = i;
else
end
end
PLEASE HELP ME ASAP - PLEASE USE MY PROGRAM THAT I PROVIDED
AND ALSO SEE EXAMPLE FIGURE THAT I UPLODED
THANK YOU
  7 个评论
显示 5更早的评论
Star Strider
Star Strider 2019-10-25
@John D’Errico — Thank you!
Rena Berman
Rena Berman 2019-12-12
(Answers Dev) Restored edit

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回答（2 个）

David Hill
David Hill 2019-10-26
Your plot is not marking the three maximum values. If you did want the maximum values and the minum values in between, then you could just force it.
[M1,i1]=max(TT);
TT(i1)=nan;
[M2,i2]=max(TT);
TT(i2)=nan;
[M3,i3]=max(TT);
m=sort([i1,i2,i3]);
[m1,i4]=min(TT(m(1):m(2)));
[m2,i5]=min(TT(m2:end));
Image Analyst
Image Analyst 2019-10-28
It's not clear how those particular locations were chosen. My best guess is that you are trying to find the peaks and valleys of a smoothed version of your data. So I'd try movmean() or sgolayfilt() followed by findpeaks().

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