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Journal of Electrical and Computer Engineering
Volume 2010 (2010), Article ID 459623, 13 pages
Research Article

Analysis of the Consecutive Mean Excision Algorithms

Centre for Wireless Communications (CWC), University of Oulu, P.O. Box 4500, Oulu 90014, Finland

Received 4 June 2010; Revised 5 November 2010; Accepted 21 December 2010

Academic Editor: Jian-Kang Zhang

Copyright © 2010 Johanna Vartiainen 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.


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.