How to remove outliers without using filter?

조회 수: 7 (최근 30일)
Nik Rocky
Nik Rocky 2020년 12월 14일
댓글: KALYAN ACHARJYA 2020년 12월 14일
Hello,
I have a measure results and there are some random outliers with a big negative or positive values (jitter of uC), there are just random, single values, outliers have a similar value.
So, I want to eliminate this values (just take the same value from left or linear interpolation value ((k-1)+(k+1))/2).
My question is, how to detect this values without using medfilt or filloutliers?
In this case outlier is by motor 3, at 48. sec (negative peak).
Array is in attachement. Thank you!
Yellow peak at 4,8 sek
If I use:
FX = gradient(v3);
I get:
0,209265176669710
0,236204049673113
0,549647683628642
-0,0127194313868060
-0,452682745464152
-0,605877560385565
-1,42706647302949
-35,9107931304111
0,321110515084925 -< this is a position of outlier
36,0098773311071
1,55432187084153
0,329500733819600
-1,10153727341736
-0,535656388090509
0,222372662282162
-0,349206720356847

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KALYAN ACHARJYA
KALYAN ACHARJYA 2020년 12월 14일
편집: KALYAN ACHARJYA 2020년 12월 14일
Use diff function, more details
result=diff(data);
You will get a large variation in such cases (Use threshold to get the indecies), hope I understand your question.
  댓글 수: 2
Nik Rocky
Nik Rocky 2020년 12월 14일
Thank you very much! It works!
Here is solution:
res1 = find(diff(v1)>20); %find index of outlier
v1(res1)=rdivide((v1(res1-1))+(v1(res1+1)),2); %enter a mean value from left and right
KALYAN ACHARJYA
KALYAN ACHARJYA 2020년 12월 14일
:)

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