An Overview of the Adaptive Robust DFT

This paper overviews basic principles and applications of the robust DFT (RDFT) approach, which is used for robust processing of frequency-modulated (FM) signals embedded in non-Gaussian heavy-tailed noise. In particular, we concentrate on the spectral analysis and filtering of signals corrupted by...

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Main Authors: Alexey A. Roenko, Vladimir V. Lukin, Igor Djurović
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2010/595071
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spelling doaj-c9ed608e869245c8ac0c3aaa3ba62c6a2020-11-24T20:51:35ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-01201010.1155/2010/595071An Overview of the Adaptive Robust DFTAlexey A. RoenkoVladimir V. LukinIgor DjurovićThis paper overviews basic principles and applications of the robust DFT (RDFT) approach, which is used for robust processing of frequency-modulated (FM) signals embedded in non-Gaussian heavy-tailed noise. In particular, we concentrate on the spectral analysis and filtering of signals corrupted by impulsive distortions using adaptive and nonadaptive robust estimators. Several adaptive estimators of location parameter are considered, and it is shown that their application is preferable with respect to non-adaptive counterparts. This fact is demonstrated by efficiency comparison of adaptive and nonadaptive RDFT methods for different noise environments. http://dx.doi.org/10.1155/2010/595071
collection DOAJ
language English
format Article
sources DOAJ
author Alexey A. Roenko
Vladimir V. Lukin
Igor Djurović
spellingShingle Alexey A. Roenko
Vladimir V. Lukin
Igor Djurović
An Overview of the Adaptive Robust DFT
EURASIP Journal on Advances in Signal Processing
author_facet Alexey A. Roenko
Vladimir V. Lukin
Igor Djurović
author_sort Alexey A. Roenko
title An Overview of the Adaptive Robust DFT
title_short An Overview of the Adaptive Robust DFT
title_full An Overview of the Adaptive Robust DFT
title_fullStr An Overview of the Adaptive Robust DFT
title_full_unstemmed An Overview of the Adaptive Robust DFT
title_sort overview of the adaptive robust dft
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2010-01-01
description This paper overviews basic principles and applications of the robust DFT (RDFT) approach, which is used for robust processing of frequency-modulated (FM) signals embedded in non-Gaussian heavy-tailed noise. In particular, we concentrate on the spectral analysis and filtering of signals corrupted by impulsive distortions using adaptive and nonadaptive robust estimators. Several adaptive estimators of location parameter are considered, and it is shown that their application is preferable with respect to non-adaptive counterparts. This fact is demonstrated by efficiency comparison of adaptive and nonadaptive RDFT methods for different noise environments.
url http://dx.doi.org/10.1155/2010/595071
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