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FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects.
- Source :
-
IEEE Transactions on Instrumentation & Measurement . Oct2019, Vol. 68 Issue 10, p4175-4187. 13p. - Publication Year :
- 2019
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *WIRELESS sensor networks
*MISSING data (Statistics)
*PARAMETRIC modeling
*NOISE
Subjects
Details
- Language :
- English
- ISSN :
- 00189456
- Volume :
- 68
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Instrumentation & Measurement
- Publication Type :
- Academic Journal
- Accession number :
- 138733407
- Full Text :
- https://doi.org/10.1109/TIM.2018.2883998