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4

Imagine you have a very long sequence. What is the most efficient way of finding the intervals where the sequence is all zeros (or more precisely the sequence drops to near-zero values abs(X)<eps):

For simplicity, lets assume the following sequence:

sig = [1 1 0 0 0 0 1 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 0 1 1 1 0];

I'm trying to get the following information:

startIndex   EndIndex    Duration
3            6           4
12           12          1
14           16          3
25           26          2
30           30          1

then using this information, we find the intervals with duration >= to some specified value (say 3), and returning the indices of the values in all these intervals combined:

indices = [3 4 5 6 14 15 16];

That last part is related to a previous question:

MATLAB: vectorized array creation from a list of start/end indices

This is what I have so far:

sig = [1 1 0 0 0 0 1 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 0 1 1 1 0];
len = length(sig);
thresh = 3;

%# align the signal with itself successively shifted by one
%# v will thus contain 1 in the starting locations of the zero interval
v = true(1,len-thresh+1);
for i=1:thresh
    v = v & ( sig(i:len-thresh+i) == 0 );
end

%# extend the 1's till the end of the intervals
for i=1:thresh-1
    v(find(v)+1) = true;
end

%# get the final indices
v = find(v);

I'm looking to vectorize/optimize the code, but I'm open to other solutions. I have to stress that space and time efficiencies are very important, since I'm processing a large number of long bio-signals.

A: 

I think the most MATLAB/"vectorized" way of doing it is by computing a convolution of your signal with a filter like [-1 1]. You should look at the documentation of the function conv. Then on the output of conv use find to get the relevant indexes.

carlosdc
+1  A: 
function indice=sigvec(sig,thresh)
    %extend sig head and tail to avoid 0 head and 0 tail

    exsig=[1,sig,1];
    %convolution sig with extend sig
    cvexsig=conv(exsig,ones(1,thresh));
    tempsig=double(cvexsig==0);

    indice=find(conv(tempsig,ones(1,thresh)))-thresh;
emailhy
+1 This is a decent solution in case `thresh` is small enough, however it gets slower with larger values
merv
+5  A: 

These are the steps I would take to solve your problem in a vectorized way, starting with a given vector sig:

  • First, threshold the vector to get a vector tsig of zeros and ones (zeroes where the absolute value of the signal drops close enough to zero, ones elsewhere):

    tsig = (abs(sig) >= eps);  %# Using eps as the threshold
    
  • Next, find the starting indices, ending indices, and duration of each string of zeroes using the functions DIFF and FIND:

    dsig = diff([1 tsig 1]);
    startIndex = find(dsig < 0);
    endIndex = find(dsig > 0)-1;
    duration = endIndex-startIndex+1;
    
  • Then, find the strings of zeroes with a duration greater than or equal to some value (such as 3, from your example):

    stringIndex = (duration >= 3);
    startIndex = startIndex(stringIndex);
    endIndex = endIndex(stringIndex);
    
  • Finally, use the method from my answer to the linked question to generate your final set of indices:

    indices = zeros(1,max(endIndex)+1);
    indices(startIndex) = 1;
    indices(endIndex+1) = indices(endIndex+1)-1;
    indices = find(cumsum(indices));
    
gnovice
Was going to suggest this, more or less exactly.
rlbond
@gnovice: how come I didnt think of using DIFF myself?? thanks
merv
+2  A: 

You can solve this as a string search task, by finding strings of zeros of length thresh (STRFIND function is very fast)

startIndex = strfind(sig, zeros(1,thresh));

Note that longer substrings will get marked in multiple locations but will eventually be joined once we add in-between locations from intervals start at startIndex to end at start+thresh-1.

indices = unique( bsxfun(@plus, startIndex', 0:thresh-1) )';

Note that you can always swap this last step with the CUMSUM/FIND solution by @gnovice from the linked question.

Amro
thats definitely the shortest vectorized solution, I wonder how It compares to the other two methods: `diff/find` by @gnovice and `conv` by @emailhy
merv

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