Name
Title | ||
|---|---|---|
Automatic Detection, Estimation, and Validation of Harmonic Components in Measured Power Spectra: All-in-One Approach |
Abstract | ||
|---|---|---|
The detection of periodic components buried in noise is a general problem in various engineering fields. The amplitudes in the frequency domain of a disturbed signal follow Rice distribution, which is fully described by two parameters. Most methods are restricted to automatically detecting the harmonic components. In this paper, we extend the methodology to detect significant harmonics in measured spectra such that, aside from detection, the magnitude of the harmonic component is also estimated, together with the probability that the harmonic component was incorrectly detected. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TIM.2010.2062710 | Instrumentation and Measurement, IEEE Transactions |
Keywords | DocType | Volume |
frequency-domain analysis,harmonic distortion,probability,signal detection,spectral analysers,Rice distribution,automatic detection,frequency domain,harmonic components,harmonics detection,power spectra measurement,probability,spectrum analyzer,Discriminant analysis,harmonic distortions,power spectrum,rice distribution,signal processing/analysis,spectrum analyzer measurements | Journal | 60 |
Issue | ISSN | Citations |
3 | 0018-9456 | 3 |
PageRank | References | Authors |
0.88 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kurt Barbé | 1 | 81 | 20.28 |
| Wendy Van Moer | 2 | 99 | 29.63 |
| Van Moer, W. | 3 | 57 | 24.84 |