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

Onderzoeksoutput: Articlepeer review

90 Downloads (Pure)

Samenvatting

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.
Originele taal-2English
Artikelnummer8579212
Pagina's (van-tot) 4175-4187
Aantal pagina's13
TijdschriftIEEE Transactions on Instrumentation and Measurement
Volume68
Nummer van het tijdschrift10
Vroegere onlinedatumdec 2018
DOI's
StatusPublished - okt 2019

Vingerafdruk

Duik in de onderzoeksthema's van 'FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects'. Samen vormen ze een unieke vingerafdruk.

Citeer dit