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» On the Identification of a Class of Linear Models
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SIAMCO
2000
89views more  SIAMCO 2000»
14 years 9 months ago
Persistence of Excitation Properties for Time-Varying Autoregressive Systems
It is well known that a crucial property for the effective identification of time-varying systems is that the data carry continual information on the parameters to be estimated. As...
Sergio Bittanti, Marco C. Campi
ACL
2000
14 years 11 months ago
A Unified Statistical Model for the Identification of English BaseNP
This paper presents a novel statistical model for automatic identification of English baseNP. It uses two steps: the Nbest Part-Of-Speech (POS) tagging and baseNP identification g...
Endong Xun, Changning Huang, Ming Zhou
63
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AUTOMATICA
2004
77views more  AUTOMATICA 2004»
14 years 9 months ago
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
In any real-life identification problem, only a finite number of data points is available. On the other hand, almost all results in stochastic identification pertain to asymptotic...
Marco C. Campi, Su Ki Ooi, Erik Weyer
CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
14 years 4 months ago
Semiparametric identification of Hammerstein systems using input reconstruction and a single harmonic input
We present a two-step method for identifying SISO Hammerstein systems. First, using a persistent input with retrospective cost optimization, we estimate a parametric model of the l...
Anthony M. D'Amato, Kenny S. Mitchell, Bruno Ot&aa...
TSP
2010
14 years 4 months ago
Modeling and identification of nonlinear systems in the short-time fourier transform domain
Abstract--In this paper, we introduce a novel approach for improved nonlinear system identification in the short-time Fourier transform (STFT) domain. We first derive explicit repr...
Yekutiel Avargel, Israel Cohen