Analysis of the Consecutive Mean Excision Algorithms

The backward and forward consecutive mean excision (CME/FCME) algorithms are diagnostic methods for outlier (signal) detection. Since they are computationally simple, they have applications for both narrowband signal detection in cognitive radios and interference suppression. In this paper, a theore...

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Main Authors: Johanna Vartiainen, Janne Lehtomäki, Harri Saarnisaari, Markku Juntti
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2010/459623
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author Johanna Vartiainen
Janne Lehtomäki
Harri Saarnisaari
Markku Juntti
author_facet Johanna Vartiainen
Janne Lehtomäki
Harri Saarnisaari
Markku Juntti
author_sort Johanna Vartiainen
collection DOAJ
description The backward and forward consecutive mean excision (CME/FCME) algorithms are diagnostic methods for outlier (signal) detection. Since they are computationally simple, they have applications for both narrowband signal detection in cognitive radios and interference suppression. In this paper, a theoretical performance analysis framework of the CME algorithms is presented. The analysis provides simple tests of the detectability of the signals based on their shape in the considered domain (e.g., spectrum). As a consequence, results can be used to quickly check whether the CME/FCME algorithms are usable for a given problem or not without the need to resort to time consuming computer simulations. The computer simulations for random and orthogonal frequency division multiplexing (OFDM) signals show that the presented analysis is able to predict the detectability of signals well.
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institution Kabale University
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series Journal of Electrical and Computer Engineering
spelling doaj-art-a396bff7f8104fd8a7d218f1e4be8b2e2025-02-03T05:48:23ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552010-01-01201010.1155/2010/459623459623Analysis of the Consecutive Mean Excision AlgorithmsJohanna Vartiainen0Janne Lehtomäki1Harri Saarnisaari2Markku Juntti3Centre for Wireless Communications (CWC), University of Oulu, P.O. Box 4500, Oulu 90014, FinlandCentre for Wireless Communications (CWC), University of Oulu, P.O. Box 4500, Oulu 90014, FinlandCentre for Wireless Communications (CWC), University of Oulu, P.O. Box 4500, Oulu 90014, FinlandCentre for Wireless Communications (CWC), University of Oulu, P.O. Box 4500, Oulu 90014, FinlandThe backward and forward consecutive mean excision (CME/FCME) algorithms are diagnostic methods for outlier (signal) detection. Since they are computationally simple, they have applications for both narrowband signal detection in cognitive radios and interference suppression. In this paper, a theoretical performance analysis framework of the CME algorithms is presented. The analysis provides simple tests of the detectability of the signals based on their shape in the considered domain (e.g., spectrum). As a consequence, results can be used to quickly check whether the CME/FCME algorithms are usable for a given problem or not without the need to resort to time consuming computer simulations. The computer simulations for random and orthogonal frequency division multiplexing (OFDM) signals show that the presented analysis is able to predict the detectability of signals well.http://dx.doi.org/10.1155/2010/459623
spellingShingle Johanna Vartiainen
Janne Lehtomäki
Harri Saarnisaari
Markku Juntti
Analysis of the Consecutive Mean Excision Algorithms
Journal of Electrical and Computer Engineering
title Analysis of the Consecutive Mean Excision Algorithms
title_full Analysis of the Consecutive Mean Excision Algorithms
title_fullStr Analysis of the Consecutive Mean Excision Algorithms
title_full_unstemmed Analysis of the Consecutive Mean Excision Algorithms
title_short Analysis of the Consecutive Mean Excision Algorithms
title_sort analysis of the consecutive mean excision algorithms
url http://dx.doi.org/10.1155/2010/459623
work_keys_str_mv AT johannavartiainen analysisoftheconsecutivemeanexcisionalgorithms
AT jannelehtomaki analysisoftheconsecutivemeanexcisionalgorithms
AT harrisaarnisaari analysisoftheconsecutivemeanexcisionalgorithms
AT markkujuntti analysisoftheconsecutivemeanexcisionalgorithms