Originally Posted by durden_tyler

Sorry, but the problem is not clear enough.



What's the length of the sliding window ?

- Is it just 2 (1st & 2nd, 2nd & 3rd, 3rd & 4th, ...) ?
- Or is it 3 (1st, 2nd & 3rd; 2nd, 3rd & 4th; ...) ?

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The lenght is whatever the data requires 1,1000,1000000 of data samples
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Hopefully, it's not a cartesian product, i.e.

1st vs. (2nd, 3rd, 4th, ... , last_row)
2nd vs. (1st, 3rd, 4th, ... , last_row)
3rd vs. (1st, 2nd, 4th, ... , last_row)
...
last_row vs. (1st, 2nd, 3rd, ..., last-1_row)

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No cartesian product
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- Ok, and what do you want to do with the sum ?
- Do you want to display it ? Or do nothing with it (highly unlikely) ?
- If you want to display it, then how ? The total against each row ? Or the total against the first row only ? Or against the second row only ?

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Only print the value.
For the other work I' m on my own.;-)
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This begs the first counter-question. Why compare the 3rd, 4th and 5th (considering that you have been comparing two-at-a-time all this while) ?
So again, what's the length of the sliding window ?

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TimeFrame concept.
Events in a Time Frame (ex.500 microseconds)
I need to sum events in a :
1)STATIC time frame evironment.
2)DYNAMIC time frame environment.(what in Digital Signal Processing area is defined as Sliding Windows)
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I guess a very simple example of your input file should help here. So, let's say your input file is as follows:

Code:

$
$ cat f1
100 1
200 2
300 3
400 4
500 5
600 6
700 7
$

What do you want your output to look like ?

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1 case)
sum=1+2+3+4
sum=5+6+7

2 case)
sum=1+2+3+4
sum=2+3+4+5+6
sum=3+4+5+6+7
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tyler_durden