TAILIEUCHUNG - Báo cáo sinh học: " Research Article An Overview of the Adaptive Robust DFT"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article An Overview of the Adaptive Robust DFT | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 595071 17 pages doi 2010 595071 Research Article An Overview of the Adaptive Robust DFT Alexey A. Roenko 1 Vladimir V. Lukin 1 and Igor Djurovic2 1 Department of Transmitters Receivers and Signal Processing National Aerospace University Kharkov 17 Chkalova St. 61070 Kharkov Ukraine 2 Electrical Engineering Department University of Montenegro Cetinjski put bb 81000 Podgorica Montenegro Correspondence should be addressed to Vladimir V. Lukin vladimlukin@ Received 24 January 2010 Accepted 17 May 2010 Academic Editor Ljubisa Stankovic Copyright 2010 Alexey A. Roenko et al. 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. 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. 1. Introduction Using Gaussian distributions noise and other phenomena have been described over time in various applications such as communications radars sonars and acoustics 1 . However recent studies have shown that heavier-tailed probability density functions PDFs provide a more adequate description of noise in many practical environments 24 . In particular Spaulding and Middleton 2 initiated this development of various complex .

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