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Titolo: Robust wigner distribution with application to the instantaneous frequencyestimation
Autore: Djurovic, I; Stankovic, L;
- Indirizzi:
- Univ Montenegro, Dept Elect Engn, Podgorica, Montenegro, Yugoslavia Univ Montenegro Podgorica Montenegro Yugoslavia , Montenegro, Yugoslavia
- Titolo Testata:
- IEEE TRANSACTIONS ON SIGNAL PROCESSING
fascicolo: 12,
volume: 49,
anno: 2001,
pagine: 2985 - 2993
- SICI:
- 1053-587X(200112)49:12<2985:RWDWAT>2.0.ZU;2-2
- Fonte:
- ISI
- Lingua:
- ENG
- Soggetto:
- DISTRIBUTION KERNELS; TIME; SIGNALS; NOISE; REPRESENTATION; DECOMPOSITION; FILTER;
- Keywords:
- impulse noise; instantaneous frequency estimation; spectral analysis; time-frequency analysis; time-varying filtering; Wigner distribution;
- Tipo documento:
- Article
- Natura:
- Periodico
- Settore Disciplinare:
- Engineering, Computing & Technology
- --discip_EC--
- Citazioni:
- 42
- Recensione:
- Indirizzi per estratti:
- Indirizzo: Djurovic, I Univ Montenegro, Dept Elect Engn, Podgorica, Montenegro, Yugoslavia Univ Montenegro Podgorica Montenegro Yugoslavia , Yugoslavia
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- Citazione:
- I. Djurovic e L. Stankovic, "Robust wigner distribution with application to the instantaneous frequencyestimation", IEEE SIGNAL, 49(12), 2001, pp. 2985-2993
Abstract
The Wigner distribution (WD) produces highly concentrated time-frequency (TF) representation of nonstationary signals. It may be used as an efficientsignal analysis tool, including the cases of frequency modulated signals corrupted with the Gaussian noise. In some applications, a significant amount of impulse noise is present. Then, the WD fails to produce satisfactory results. The robust periodogram has been recently introduced for spectral estimation of this kind of noisy signals. It can produce good concentration for pure harmonic signals. However, it is not so efficient in the cases of signals with rapidly varying frequency. This is the motivation for introducing the robust WD. It is a reliable TF representation tool for wide class ofnonstationary signals corrupted with impulse noise. This distribution produces good accuracy of the instantaneous frequency (IF) estimation. Using the Huber loss function, a generalization of the WD is presented. It includesboth the standard and the robust WD as special cases. This distribution can be used for TF analysis of signals corrupted with a mixture of impulse and Gaussian noise. The presented theory is illustrated on examples, including applications on the IF estimation and time-varying filtering of signals corrupted with a mixture of the Gaussian and impulse noise. The case study analysis of the IF estimators' accuracy, based on the standard and the robust WD forms, is performed. In order to improve the IF estimation, a median filter is applied on the obtained IF estimate.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/06/13 alle ore 14:05:43