DocumentCode
1368572
Title
Sampling requirements for Volterra system identification
Author
Frank, Walter A.
Author_Institution
Inst. fur Math. & Datenverarbeitung, Univ. der Bundeswehr Munchen, Neubiberg, Germany
Volume
3
Issue
9
fYear
1996
Firstpage
266
Lastpage
268
Abstract
Volterra systems generally produce-due to nonlinearity-an output signal with a higher frequency range when compared with the input signal. Hence, it seems necessary to sample the input and output signals at twice the maximum frequency of the output signal. The article shows that it is sufficient to sample at twice the maximum frequency of the input signal. A discrete-time Volterra system also produces the additional frequency components that appear-due to aliasing-at the sampled output of a continuous-time Volterra system with an equivalent transfer function.
Keywords
Volterra equations; continuous time systems; discrete time systems; filtering theory; identification; nonlinear filters; signal sampling; transfer functions; Volterra system identification; aliasing; continuous-time Volterra system; discrete-time Volterra system; frequency components; frequency range; input signal; maximum frequency; nonlinear filters; nonlinearity; output signal; sampled output; transfer function; Bandwidth; Fourier transforms; Frequency domain analysis; Kernel; Nonlinear filters; Nonlinear systems; Sampling methods; Signal processing; System identification; Transfer functions;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.536597
Filename
536597
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