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New semi-causal and noncausal techniques for detection of impulsive disturbances in multivariate signals with audio applications

Abstract

This paper deals with the problem of localization of impulsive disturbances in nonstationary multivariate signals. Both unidirectional and bidirectional (noncausal) detection schemes are proposed. It is shown that the strengthened pulse detection rule, which combines analysis of one-step-ahead signal prediction errors with critical evaluation of leave-one-out signal interpolation errors, allows one to noticeably improve detection results compared to the prediction-only based solutions. The proposed general purpose approach is illustrated with two examples of practical applications – elimination of impulsive disturbances (such as clicks, pops and record scratches) from archive audio files and robust parametric spectrum estimation.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
IEEE TRANSACTIONS ON SIGNAL PROCESSING no. 65, edition 15, pages 3881 - 3892,
ISSN: 1053-587X
Language:
English
Publication year:
2017
Bibliographic description:
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:
Digital Object Identifier (open in new tab) 10.1109/tsp.2017.2692740
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  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 open in new tab
  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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