Can you please advise a way of binary data fusion? Here is a a task: There are n (n is odd) sources of binary labels (0 | 1). So, every data "frame" contains n labels. The task is to produce a single label per frame based on the fusion of all labels. For example:
S1 0 0 0 1 1 1 0 0 0 1 1 0
S2 0 0 1 1 1 1 1 0 0 1 1 1
S3 0 0 0 0 1 1 1 0 0 0 1 0
--------------------------
0 0 0 1 1 1 1 0 0 1 1 0
The "major voting" was used in this case: 0 0 0 -> 0; 1 1 0 -> 1 etc.
The major voting could be extended in horizontal direction, so that it's done over k frames for every i-th frame E.g. for k=3:
F1 round( (0+0+0+0+0+0+0+1+0) 开发者_开发技巧/ 9) = 0
F2 round( (0+0+0+0+1+0+1+1+0) / 9) = 0
F3 round( (0+1+0+1+1+0+1+1+1) / 9) = 1 # was 0
F4 round( (1+1+0+1+1+1+1+1+1) / 9) = 1
..
Are there any other fusion schemes that come to your mind? Thank you!
It looks to me you might be interested in
The tradeoff between reliability, consistency and availability. Here you can read about it with Amazon's Dynamo as an example.
Forward Error Correction
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