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Adaptive Quantization: a comparative study

Jonathan Jaglin 1 Carlos Canudas de Wit 1 Cyrille Siclet 2
1 NECS - Networked Controlled Systems
GIPSA-DA - Département Automatique, Inria Grenoble - Rhône-Alpes
2 GIPSA-C2S - GIPSA - Communication, Signal et Sécurité
GIPSA-DIS - Département Images et Signal
Abstract : This paper investigates the comparison of two adaptive quantization algorithms for linear systems in the context of NCS(Networked Controlled Systems). The first algorithm that we call ZIZO(Zoom In Zoom Out) is due to Sharon and Liberzon and the second one that we call D-ZIZO. We show that D-ZIZO generates a smoother quantization noise than ZIZO algorithm and that D-ZIZO allows a faster convergence for same given properties. Moreover in the multivariable case, D-ZIZO allows us to use the smallest number of quantization bits in order to achieve stability.
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Submitted on : Monday, March 16, 2009 - 11:39:46 AM
Last modification on : Wednesday, May 13, 2020 - 4:30:06 PM
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  • HAL Id : hal-00368337, version 1


Jonathan Jaglin, Carlos Canudas de Wit, Cyrille Siclet. Adaptive Quantization: a comparative study. [Research Report] GIPSA-lab. 2008. ⟨hal-00368337⟩



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