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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