Sampling rate considerations in nonlinear system identification

D. T. Westwick; E. J. Perreault; R. E. Kearney

Sampling rate considerations in nonlinear system identification

D. T. Westwick^*, E. J. Perreault, R. E. Kearney

^*Corresponding author for this work

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Sampling rate considerations play an important role in nonlinear system identification and simulation. Static nonlinearities increase the bandwidth of the signals they transform. Therefore, the criteria used in linear systems theory (such as the Nyquist rate for the system input) will not always produce accurate representations of nonlinear systems. Theoretical arguments are given establishing criteria for the selection of appropriate sampling rates for experiments involving nonlinear system identification and simulation. A simulation is used to demonstrate these results.

Original language	English (US)
Title of host publication	Proceedings of the Annual Conference on Engineering in Medicine and Biology
Publisher	Publ by IEEE
Pages	2303-2304
Number of pages	2
Volume	13
Edition	pt 5
ISBN (Print)	0780302168
State	Published - Dec 1 1991
Event	Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA Duration: Oct 31 1991 → Nov 3 1991

Other

Other	Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	Orlando, FL, USA
Period	10/31/91 → 11/3/91

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

@inproceedings{9a7e83808e214a85b09f8ae164a24813,

title = "Sampling rate considerations in nonlinear system identification",

abstract = "Sampling rate considerations play an important role in nonlinear system identification and simulation. Static nonlinearities increase the bandwidth of the signals they transform. Therefore, the criteria used in linear systems theory (such as the Nyquist rate for the system input) will not always produce accurate representations of nonlinear systems. Theoretical arguments are given establishing criteria for the selection of appropriate sampling rates for experiments involving nonlinear system identification and simulation. A simulation is used to demonstrate these results.",

author = "Westwick, {D. T.} and Perreault, {E. J.} and Kearney, {R. E.}",

year = "1991",

month = dec,

day = "1",

language = "English (US)",

isbn = "0780302168",

volume = "13",

pages = "2303--2304",

booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",

publisher = "Publ by IEEE",

edition = "pt 5",

note = "Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 31-10-1991 Through 03-11-1991",

}

Westwick, DT, Perreault, EJ & Kearney, RE 1991, Sampling rate considerations in nonlinear system identification. in Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 5 edn, vol. 13, Publ by IEEE, pp. 2303-2304, Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, USA, 10/31/91.

TY - GEN

T1 - Sampling rate considerations in nonlinear system identification

AU - Westwick, D. T.

AU - Perreault, E. J.

AU - Kearney, R. E.

PY - 1991/12/1

Y1 - 1991/12/1

N2 - Sampling rate considerations play an important role in nonlinear system identification and simulation. Static nonlinearities increase the bandwidth of the signals they transform. Therefore, the criteria used in linear systems theory (such as the Nyquist rate for the system input) will not always produce accurate representations of nonlinear systems. Theoretical arguments are given establishing criteria for the selection of appropriate sampling rates for experiments involving nonlinear system identification and simulation. A simulation is used to demonstrate these results.

AB - Sampling rate considerations play an important role in nonlinear system identification and simulation. Static nonlinearities increase the bandwidth of the signals they transform. Therefore, the criteria used in linear systems theory (such as the Nyquist rate for the system input) will not always produce accurate representations of nonlinear systems. Theoretical arguments are given establishing criteria for the selection of appropriate sampling rates for experiments involving nonlinear system identification and simulation. A simulation is used to demonstrate these results.

UR - http://www.scopus.com/inward/record.url?scp=0026369987&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026369987&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0026369987

SN - 0780302168

VL - 13

SP - 2303

EP - 2304

BT - Proceedings of the Annual Conference on Engineering in Medicine and Biology

PB - Publ by IEEE

T2 - Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 31 October 1991 through 3 November 1991

ER -

Sampling rate considerations in nonlinear system identification

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this