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Digitale Medien

Exact orthogonal kernel estimation from finite data records: Extending Weiner's identification of nonlinear systems (1988)

Korenberg, M. J. ; Bruder, S. B. ; McLlroy, P. J.

Springer

Annals of biomedical engineering 16 (1988), S. 201-214

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Details

ISSN: 1573-9686

Schlagwort(e): Nonlinear systems identification ; Volterra ; Wiener ; Orthogonal kernel estimation

Quelle: Springer Online Journal Archives 1860-2000

Thema: Medizin , Technik allgemein

Notizen: Abstract A technique is described for exact estimation of kernels in functional expansions for nonlinear systems. The technique operates by orthogonalizing over the data record and in so doing permits a wide variety of input excitation. In particular, the excitation is not limited to inputs that are white, Gaussian, or lengthy. Diagonal kernel values can be estimated, without modification, as accurately as off-diagonal values. Simulations are provided to demonstrate that the technique is more accurate than the Lee-Schetzen method with a white Gaussian input of limited duration, retaining its superiority when the system output is corrupted by noise.

Materialart: Digitale Medien

URL: http://dx.doi.org/10.1007/BF02364581

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