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Exact discrete-time representation of continuous-time Volterra filters

Schwingshackl, D. ; Koeppl, H. ; Kubin, G. (2005)
Exact discrete-time representation of continuous-time Volterra filters.
In: NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, 2005.
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Summary form only given. In this paper, an exact sampled-data representation of continuous-time systems are presented. Based on the well known discretization technique for linear systems, we derive new results for nonlinear systems, especially for Volterra systems. Typically, the input signal to the continuous-time system must be held constant over the sampling period. This constraint is relaxed by introducing general hold functions for the D/A conversion. Furthermore, an illustrative example is given.

Typ des Eintrags: Artikel
Erschienen: 2005
Autor(en): Schwingshackl, D. ; Koeppl, H. ; Kubin, G.
Art des Eintrags: Bibliographie
Titel: Exact discrete-time representation of continuous-time Volterra filters
Sprache: Deutsch
Publikationsjahr: 2005
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, 2005.
URL / URN: http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=150222...
Kurzbeschreibung (Abstract):

Summary form only given. In this paper, an exact sampled-data representation of continuous-time systems are presented. Based on the well known discretization technique for linear systems, we derive new results for nonlinear systems, especially for Volterra systems. Typically, the input signal to the continuous-time system must be held constant over the sampling period. This constraint is relaxed by introducing general hold functions for the D/A conversion. Furthermore, an illustrative example is given.

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 11:38
Letzte Änderung: 23 Sep 2021 14:32
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