CUED Publications database

Optimal quantization of signals for system identification

Tsumura, K and Maciejowski, J (2003) Optimal quantization of signals for system identification. In: UNSPECIFIED pp. 785-790..

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In this paper, we analyse the effect of the quantization of signals used for system identification and show an optimal quantization scheme for minimizing estimation errors under a constraint on the number of subsections of the quantized signals. The optimal quantization scheme has the property that it is coarse near the origin and dense at a distance from it in the definition area of the signals. We also evaluate the estimated parameters and show a trade-off between the quantization error and the noise error under the constraint on the amount of information in the output data.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:42
Last Modified: 13 Apr 2021 07:43
DOI: doi:10.23919/ecc.2003.7085053