Title :
Volterra system identification and Kramer´s sampling theorem
Author_Institution :
Inst. for Telecommun. Res., Adelaide, SA, Australia
fDate :
11/1/1999 12:00:00 AM
Abstract :
Nonlinear systems increase signal bandwidth, but Volterra systems may be identified uniquely even when the output is sampled at the Nyquist rate of the input. We present a more transparent and general proof. Using the theory of sampling expansions for general integral transforms, we permit the sampling to be nonuniform
Keywords :
bandlimited signals; identification; nonlinear systems; signal reconstruction; signal sampling; transforms; Kramer´s sampling theorem; Nyquist rate; Volterra system identification; general integral transforms; nonlinear systems; nonuniform sampling; sampling expansions; signal bandwidth; Bandwidth; Filtering; Filters; Frequency; Nonlinear systems; Sampling methods; Signal processing; Signal sampling; Speech processing; System identification;
Journal_Title :
Signal Processing, IEEE Transactions on
