DocumentCode
1340170
Title
On Extracting Common Random Bits From Correlated Sources
Author
Bogdanov, Andrej ; Mossel, Elchanan
Author_Institution
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong, China
Volume
57
Issue
10
fYear
2011
Firstpage
6351
Lastpage
6355
Abstract
Suppose Alice and Bob receive strings of unbiased independent but noisy bits from some random source. They wish to use their respective strings to extract a common sequence of random bits with high probability but without communicating. How many such bits can they extract? The trivial strategy of outputting the first k bits yields an agreement probability of (1-ε)k <; 2-1.44kε, where ε is the amount of noise. We show that no strategy can achieve agreement probability better than 2-kε/(1-ε). On the other hand, we show that when k ≥ 10 + 2(1 - ε)/ε, there exists a strategy which achieves an agreement probability of 0.003(kε)-1/2 · 2-kε/(1-ε).
Keywords
Hamming codes; probability; random codes; Hamming weight code; common random noisy bit extraction; correlated sources; first k bits; probability; Correlation; Entropy; Hamming weight; Noise; Noise measurement; Protocols; Upper bound; Common information; randomness extraction;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2011.2134067
Filename
6034732
Link To Document