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
Link To Document :
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