Hybrid Barankin-Weiss-Weinstein bounds

Abstract : This letter investigates hybrid lower bounds on the mean square error in order to predict the so-called threshold effect. A new family of tighter hybrid large error bounds based on linear transformations (discrete or integral) of a mixture of the McAulay-Seidman bound and the Weiss-Weinstein bound is provided in multivariate parameters case with multiple test points. For use in applications, we give a closed-form expression of the proposed bound for a set of Gaussian observation models with parameterized mean, including tones estimation which exemplifies the threshold prediction capability of the proposed bound.
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Submitted on : Friday, November 27, 2015 - 1:38:14 PM
Last modification on : Thursday, February 7, 2019 - 2:25:05 PM
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Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux. Hybrid Barankin-Weiss-Weinstein bounds. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2015, 22 (11), pp.2064-2068. ⟨hal-01234910⟩

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