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- W2168129095 abstract "This paper focuses on de Bruijn identity, a fundamental result that relates two important concepts: Fisher information and differential entropy. A novel relationship with Stein identity and extensions of de Bruijn identity are first presented. Then several applications of de Bruijn identity in deriving the Bayesian Cramer-Rao lower bound (BCRLB), Cramer-Rao lower bound (CRLB), and a new lower bound, tighter than the BCRLB, are presented. The paper concludes with an application of de Bruijn identity in designing min-max optimal training sequences for channel estimation and synchronization in the presence of unknown noise distribution." @default.
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- W2168129095 date "2012-06-01" @default.
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- W2168129095 title "New perspectives, extensions and applications of de Bruijn identity" @default.
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- W2168129095 doi "https://doi.org/10.1109/spawc.2012.6292936" @default.
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