Abstract:
The Liu-Cuff-Verdu lemma states that in estimating a source X from an observation Y, making a random guess X' from the posterior p(xly) can go wrong at most twice as ofte...Show MoreMetadata
Abstract:
The Liu-Cuff-Verdu lemma states that in estimating a source X from an observation Y, making a random guess X' from the posterior p(xly) can go wrong at most twice as often as the optimal answer. Several variations of this fundamental, yet rather arcane, result are explored for detection, decoding, and estimation problems.
Published in: 2018 IEEE Information Theory Workshop (ITW)
Date of Conference: 25-29 November 2018
Date Added to IEEE Xplore: 17 January 2019
ISBN Information:
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