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Experimental determination of effective X-ray attenuation coefficients of 3D-printed materials under clinical mammography spectra. [PDF]
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Iterative identification of Hammerstein systems
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Er-Wei Bai
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Parameter identification of discontinuous hammerstein systems
Automatica, 1997The paper deals with the problem of parameter identification of Hammerstein systems (cascade connections of static nonlinearity and linear dynamics) with a nonlinear static block having a discontinuous asymmetric and piecewise-linear characteristic. The approach is based on a decomposition technique, the so-called key-term separation principle, which ...
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On identification of multivariate Hammerstein systems
CCECE 2010, 2010This paper presents a semi-parametric approach to the problem of identification of multivariate Hammerstein systems. A nonlinearity in general multivariate Hammerstein systems is represented by projecting the d-dimensional input signal onto one dimensional subset which, in turn, is mapped by a univariate nonparametric function to an internal signal of ...
Jiaqing Lv, Mirek Pawlak
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Nonparametric identification of Hammerstein systems
IEEE Transactions on Information Theory, 1989Summary: A discrete-time nonlinear Hammerstein system is identified and the correlation and frequency domain methods for identification of its linear subsystem are presented. The main results concern the estimation of the nonlinear memoryless subsystem.
Wlodzimierz Greblicki, Miroslaw Pawlak
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GAIN ESTIMATION FOR HAMMERSTEIN SYSTEMS
IFAC Proceedings Volumes, 2006In this paper, we discuss and compare three different approaches for L2- gain estimation of Hammerstein systems. The objective is to find the input signal that maximizes the gain.
Barenthin, Märta +3 more
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Cascading Wiener-Hammerstein systems
IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276), 2003In this paper we study the cascading of weakly nonlinear systems. It is shown that the best linear approximation of the cascaded system is given by the product of the best linear approximation to the first and second nonlinear system respectively.
Tadeusz, Dobrowiecki, Schoukens, Joannes
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System identification using Hammerstein model
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014In literature, various linear and nonlinear model structures are defined to identify the systems. Linear models such as Finite Impulse Response (FIR), Infinite Impulse Response (IIR) and Autoregressive (AR) are used in the situations that the input-output relation is signified through linear equivalence.
Selcuk Mete, Saban Ozer, Hasan Zorlu
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Initial estimates for the dynamics of a Hammerstein system
IFAC Proceedings Volumes, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Johan Schoukens +3 more
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Hammerstein–Wiener system estimator initialization
Automatica, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Philippe Crama, Johan Schoukens
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