Group cells in a matrix per column based on an indexed starting point

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I have two logical array matrices, A & B. I have the indexes of the 1s from A. I want to use these indexes as a starting point for grouping consecutive 1s in B, and then change everything else to 0.
The 1s in A represent the starting points of my events of interest, and B has the entire events as well as some false positives. I want to use the indexes from A to get rid of the false positives by changing them to 0 if they are not part of a series of 1s that begins with one of my indexes from A.
How would you do this?

Answers (1)

TADA
TADA on 2 Jan 2020
you can map the ends of each series of ones using diff:
C = [diff(B, 1, 1) == -1; B(end, :)];
then check each occurence of C to see if it has a preceding index in A and no index in C between the two.
If the previous occurence of C is prior to the previous occurence of A it is a valid series
but if there is an occurence of C between the current C index and the previous occurence of A it means this is the end of a false positive chain, then you can zero out everything from the previous C index +1 up to the current C index
  2 Comments
TADA
TADA on 2 Jan 2020
I think the most straight forward method would be to loop through all indices in C (or whatever you decide to call it)
something of that sort:
prevCI = 0;
aIndices = find(A);
ai = 1;
for ci = find(C)
% search for previous ai between previous ci and current ci
while prevCI >= aIndices(ai) && aIndices(ai) <= ci && ai <= numel(aIndices)
ai = ai + 1;
end
if prevCI < aIndices(ai)
% ci is valid
else
% ci is invalid, remove from B
B((prevCI+1):ci) = false;
end
prevCI = ci;
end
this code probably doesn't work out of the box though...
first of all because i didn't test it, second, it handles B as a row/column vector or assumes your "events" continue from one column to the next, regardless of that A and C were calculated column by column..
So according to your need, adapt this script or the indices in C

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