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Communication Dans Un Congrès Année : 2019

Binary Recursive Estimation on Noisy Hardware

Résumé

Recursive estimation is a basic operation in statistical inference that may be implemented and deployed on faulty hardware with error rates governed by energy consumption. We analyze the loss in estimation performance due to noise in recursive probability computation for the binary case, and develop an optimal energy allocation strategy. Simulations show the validity of analytical bounds.
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Dates et versions

hal-02280715 , version 1 (06-09-2019)

Identifiants

Citer

Elsa Dupraz, Lav Varshney. Binary Recursive Estimation on Noisy Hardware. ISIT 2019 : International Symposium on Information Theory, Jul 2019, Paris, France. ⟨10.1109/ISIT.2019.8849626⟩. ⟨hal-02280715⟩
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