2008
DOI: 10.1364/josab.25.000c31
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Information theoretic framework for the analysis of a slow-light delay device

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Cited by 10 publications
(12 citation statements)
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“…In conclusion, we use a recently developed information-theoretic framework [30] for quantifying the delay and signal fidelity of a slow-light system based on SBS in a room-temperature single-mode fiber pumped by a spectrally-broadened laser. We show that the IT increases with increasing SNR, as expected from basic information theory [31].…”
Section: Discussionmentioning
confidence: 99%
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“…In conclusion, we use a recently developed information-theoretic framework [30] for quantifying the delay and signal fidelity of a slow-light system based on SBS in a room-temperature single-mode fiber pumped by a spectrally-broadened laser. We show that the IT increases with increasing SNR, as expected from basic information theory [31].…”
Section: Discussionmentioning
confidence: 99%
“…Recently, Neifeld and Lee [30] introduced an information-theoretic metric that uses Shannon information theory [31] to estimate the IT and ID of a slow-light system. In this approach, the mutual information (MI) is used to determine the information transfer rate between the slow-light input X and output Y, where the MI is defined as IðX; YÞ ¼ HðXÞ − HðXjYÞ, HðXÞ denotes the entropy of the binary-valued discrete input X [35], and HðXjYÞ is the conditional entropy given the output Y.…”
Section: Slow-light Data Fidelity Metricsmentioning
confidence: 99%
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