Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/tim.2018.2883998 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Time-varying systems,Linear systems,Estimation,Nonlinear distortion,Biomedical measurement,Distortion measurement,Frequency response | Nonlinear system,Parametric model,Frequency response,Periodic excitation,Linear system,Control theory,Electronic engineering,Missing data,Nonlinear distortion,Wireless sensor network,Mathematics | Journal |
Volume | Issue | ISSN |
68 | 10 | 0018-9456 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rik Pintelon | 1 | 1011 | 163.45 |
| John Lataire | 2 | 111 | 17.70 |
| Vandersteen, G. | 3 | 72 | 17.97 |