System identification using quantized data

Aguero, J.C.; Goodwin G.C.; Yuz J.I.

Keywords: systems, quantization, identification, acquisition, mechanism, data, noise, systems), Linear, (control, shaping, Quantized

Abstract

"In this paper we consider the problem of identification of linear systems using quantized data. We argue that, where possible, it is desirable to not utilize ""naively"" quantized data but instead it is preferable to choose the quantization mechanism carefully. In particular, we show that using a generalized noise shaping coder improves the accuracy of the estimates. We examine the accuracy of estimates for both naive and coded quantizers. © 2007 IEEE."

Más información

Título de la Revista: Proceedings of the IEEE Conference on Decision and Control
Editorial: IEEE
Fecha de publicación: 2007
Página de inicio: 4263
Página final: 4268
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-62749156804&partnerID=q2rCbXpz