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Comparison of discrete-time approximations for continuous-time nonlinear systems

Koeppl, H. ; Schwingshackl, D. (2004)
Comparison of discrete-time approximations for continuous-time nonlinear systems.
In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

This work addresses the problem of approximating the sampled input-output (i/o) behavior of continuous-time nonlinear systems using discrete-time Volterra models. For an exactly band-limited nonlinear system for which a Volterra representation exists, the discrete-time Volterra model exactly corresponds to the sampled continuous-time Volterra kernels. Physical systems, as they are causal, are never exactly band-limited. Thus, a modeling error is introduced. By relaxing the causality condition and allowing a small processing delay, it is shown through simulation that more accurate discrete-time Volterra models, compared to sampled continuous-time Volterra models, can be generated.

Typ des Eintrags: Artikel
Erschienen: 2004
Autor(en): Koeppl, H. ; Schwingshackl, D.
Art des Eintrags: Bibliographie
Titel: Comparison of discrete-time approximations for continuous-time nonlinear systems
Sprache: Englisch
Publikationsjahr: 2004
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
Jahrgang/Volume einer Zeitschrift: 2
URL / URN: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe...
Kurzbeschreibung (Abstract):

This work addresses the problem of approximating the sampled input-output (i/o) behavior of continuous-time nonlinear systems using discrete-time Volterra models. For an exactly band-limited nonlinear system for which a Volterra representation exists, the discrete-time Volterra model exactly corresponds to the sampled continuous-time Volterra kernels. Physical systems, as they are causal, are never exactly band-limited. Thus, a modeling error is introduced. By relaxing the causality condition and allowing a small processing delay, it is shown through simulation that more accurate discrete-time Volterra models, compared to sampled continuous-time Volterra models, can be generated.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
Hinterlegungsdatum: 04 Apr 2014 12:33
Letzte Änderung: 23 Sep 2021 14:32
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