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  • Research Article
  • Open Access

An Overview of the Adaptive Robust DFT

EURASIP Journal on Advances in Signal Processing20102010:595071

  • Received: 24 January 2010
  • Accepted: 17 May 2010
  • Published:


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.


  • Information Technology
  • Spectral Analysis
  • Basic Principle
  • Quantum Information
  • Location Parameter

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Authors’ Affiliations

Department of Transmitters, Receivers, and Signal Processing, National Aerospace University, Kharkov, 17 Chkalova St., 61070 Kharkov, Ukraine
Electrical Engineering Department, University of Montenegro, Cetinjski put bb, 81000 Podgorica, Montenegro


© Alexey A. Roenko et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.