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A Ziv-Zakai type bound for hybrid parameter estimation

Abstract : In statistical signal processing, hybrid parameter estimation refers to the case where the parameters vector to estimate contains both non-random and random parameters. In this communication, we propose a new hybrid lower bound which, for the first time, includes the Ziv-Zakaï bound well known for its tightness in the Bayesian context (random parameters only). For the general case of parameterized mean model with Gaussian noise, closed-form expressions of the proposed bound are provided.
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Contributor : Alexandre Renaux Connect in order to contact the contributor
Submitted on : Monday, February 17, 2014 - 2:01:19 PM
Last modification on : Friday, August 5, 2022 - 2:53:59 PM
Long-term archiving on: : Saturday, May 17, 2014 - 12:06:28 PM


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Chengfang Ren, Jérôme Galy, Eric Chaumette, Pascal Larzabal, Alexandre Renaux. A Ziv-Zakai type bound for hybrid parameter estimation. ICASSP: International Conference on Acoustics, Speech and Signal Processing, May 2014, Firenze, Italy. ⟨10.1109/ICASSP.2014.6854486⟩. ⟨hal-00947790⟩



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