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
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2134067