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FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects. / Pintelon, Rik; Lataire, John; Vandersteen, Gerd.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 68, No. 10, 10.2019, p. 4175-4187.

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@article{0600c402440a453bbad6551b5c491f6d,
title = "FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects",
abstract = "Quantifying the level of nonlinear distortions and time-varying effects in frequency response function measurements is a first step toward the selection of an appropriate parametric model structure. In this paper, we tackle this problem in the presence of missing data, which is an important issue in large-scale low-cost wireless sensor networks. The proposed method is based on one experiment with a special class of periodic excitation signals.",
keywords = "Frequency response function (FRF), nonlinear distortion,, nonparametric estimates, random phase multisine, ime-varying FRF (TV-FRF), Time-varying systems, Linear systems, Estimation, time-varying systems., time-varying FRF (TV-FRF), nonlinear distortion, Nonlinear distortion, Biomedical measurement, Frequency response, Distortion measurement",
author = "Rik Pintelon and John Lataire and Gerd Vandersteen",
year = "2019",
month = "10",
doi = "10.1109/TIM.2018.2883998",
language = "English",
volume = "68",
pages = "4175--4187",
journal = "IEEE Transactions on Instrumentation and measurement",
issn = "0018-9456",
publisher = "Institute of Electrical and Electronics Engineers",
number = "10",

}

RIS

TY - JOUR

T1 - FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects

AU - Pintelon, Rik

AU - Lataire, John

AU - Vandersteen, Gerd

PY - 2019/10

Y1 - 2019/10

N2 - Quantifying the level of nonlinear distortions and time-varying effects in frequency response function measurements is a first step toward the selection of an appropriate parametric model structure. In this paper, we tackle this problem in the presence of missing data, which is an important issue in large-scale low-cost wireless sensor networks. The proposed method is based on one experiment with a special class of periodic excitation signals.

AB - Quantifying the level of nonlinear distortions and time-varying effects in frequency response function measurements is a first step toward the selection of an appropriate parametric model structure. In this paper, we tackle this problem in the presence of missing data, which is an important issue in large-scale low-cost wireless sensor networks. The proposed method is based on one experiment with a special class of periodic excitation signals.

KW - Frequency response function (FRF)

KW - nonlinear distortion,

KW - nonparametric estimates

KW - random phase multisine

KW - ime-varying FRF (TV-FRF)

KW - Time-varying systems

KW - Linear systems

KW - Estimation

KW - time-varying systems.

KW - time-varying FRF (TV-FRF)

KW - nonlinear distortion

KW - Nonlinear distortion

KW - Biomedical measurement

KW - Frequency response

KW - Distortion measurement

UR - http://www.scopus.com/inward/record.url?scp=85058871679&partnerID=8YFLogxK

U2 - 10.1109/TIM.2018.2883998

DO - 10.1109/TIM.2018.2883998

M3 - Article

VL - 68

SP - 4175

EP - 4187

JO - IEEE Transactions on Instrumentation and measurement

JF - IEEE Transactions on Instrumentation and measurement

SN - 0018-9456

IS - 10

ER -

ID: 44061608