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Publikacja w czasopiśmie

Typ:

artykuł w czasopiśmie wyróżnionym w JCR

Opublikowano w:

IEEE TRANSACTIONS ON SIGNAL PROCESSING nr 65, wydanie 15, strony 3881 - 3892,
ISSN: 1053-587X

Język:

angielski

Rok wydania:

2017

Opis bibliograficzny:

Niedźwiecki M., Ciołek M.: New semi-causal and noncausal techniques for detection of impulsive disturbances in multivariate signals with audio applications// IEEE TRANSACTIONS ON SIGNAL PROCESSING. -Vol. 65, iss. 15 (2017), s.3881-3892

DOI:

Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/tsp.2017.2692740

Bibliografia: test

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2. S. Sanei and J. Chambers, EEG Signal Processing. New York: Wiley, 2007. otwiera się w nowej karcie
3. M. Niedźwiecki, M. Ciołek and K. Cisowski, "Elimination of impulsive disturbances from stereo audio recordings using vector autoregressive modeling and variable-order Kalman filtering," IEEE Trans. Audio, Speech Lang. Process., vol. 23, pp. 970-981, 2015. otwiera się w nowej karcie
4. A.J. Fox, "Outliers in time series," J. Royal Statist. Soc. Ser. B, vol. 34, pp. 350-363, 1972. otwiera się w nowej karcie
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6. R. S. Tsay, "Time series model specification in the presence of outliers," J. Amer. Statist. Ass., vol. 81, pp. 132-141, 1986. otwiera się w nowej karcie
7. I. Chang, G. C. Tiao, and C. Chen, "Estimation of time series parameters in the presence of outliers," Technometrics, vol. 30, pp. 193-204, 1988. otwiera się w nowej karcie
8. C. Chen and L.-M. Liu, "Joint estimation of model parameters and outlier effects in time series," Journal of the American Statistical Association, vol. 88, pp. 284-297, 1993. otwiera się w nowej karcie
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12. A. Justel, D. Peña, and R. S. Tsay, "Detection of outlier patches in autoregressive time series," Statistica Sinica, vol. 11, pp. 651-674, 2001.
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14. R.S. Tsay, D. Peña, and A.E. Pankratz, "Outliers in multivariate time series," Biometrika, vol. 87, pp. 789-804, 2000. otwiera się w nowej karcie
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22. H. Lütkepohl, New Introduction to Multiple Time Series Analysis. New York: Springer-Verlag, 2005. otwiera się w nowej karcie
23. M. Niedźwiecki, "Statistical reconstruction of multivariate time series," IEEE Trans. Signal Process., vol. 41, pp. 451-457, 1993. otwiera się w nowej karcie
24. T. Söderström and P. Stoica, System Identification. Englewoods Cliffs NJ: Prentice-Hall, 1988.
25. M. Niedźwiecki, Identification of Time-varying Processes. New York: Wiley, 2000. otwiera się w nowej karcie
26. A. Zellner, "An efficient method of estimating seemingly unrelated regressions and tests of aggregation bias," Journ. Am. Statist. Ass., vol. 57, pp. 348-368, 1962. otwiera się w nowej karcie
27. S.J. Godsill and P.J.W. Rayner, "Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler," IEEE Trans. Speech Audio Process., vol. 6, pp. 352-372, 1998. otwiera się w nowej karcie
28. F.R.Ávila and L.W.P. Biscainho, "Bayesian restoration of audio signals degraded by impulsive noise modeled as individual pulses," IEEE Trans. Audio, Speech Lang. Process., vol. 20, pp. 2470-2481, 2012. otwiera się w nowej karcie
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30. M. Niedźwiecki and M. Ciołek, "Localization of impulsive disturbances in audio signals using template matching," Digital Signal Process., vol. 46, pp. 253-265, 2015. otwiera się w nowej karcie
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37. F. Itakura and S. Saito, "A statistical method for estimation of speech spectral density and formant frequencies," Electron. Commun. Jap., vol. 53-A, pp. 36-43, 1970.
38. Maciej Niedźwiecki (M'08, SM'13) received the M.Sc. and Ph.D. degrees from the Technical Uni- versity of Gdańsk, Gdańsk, Poland and the Dr.Hab. (D.Sc.) degree from the Technical University of Warsaw, Warsaw, Poland, in 1977, 1981 and 1991, respectively. He spent three years as a Research Fellow with the Department of Systems Engineering, Australian National University, 1986-1989. In 1990 -1993 he served as a Vice Chairman of Technical Committee on Theory of the International Federation of Automatic Control (IFAC). He is the author of the book Identification of Time-varying Processes (Wiley, 2000). His main areas of research interests include system identification, statistical signal processing and adaptive systems. Dr. Niedźwiecki is currently a member of the IFAC committees on otwiera się w nowej karcie
39. Modeling, Identification and Signal Processing and on Large Scale Complex Systems, and a member of the Automatic Control and Robotics Committee of the Polish Academy of Sciences (PAN). He works as a Professor and Head of the Department of Automatic Control, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. Marcin Ciołek (M'17) received the M.Sc. and Ph.D. degrees from the Gdańsk University of Technol- ogy (GUT), Gdańsk, Poland, in 2010 and 2017, respectively. Since 2017, he has been working as an Adjunct Professor in the Department of Automatic Control, Faculty of Electronics, Telecommunications and Informatics, GUT. His professional interests include speech, music and biomedical signal pro- cessing.

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Weryfikacja:

Politechnika Gdańska