Open Access

Digital-Signal-Type Identification Using an Efficient Identifier

  • Ataollah Abrahamzadeh1Email author,
  • Seyed Alireza Seyedin2 and
  • Mehdi Dehghan3
EURASIP Journal on Advances in Signal Processing20072007:037690

https://doi.org/10.1155/2007/37690

Received: 14 September 2006

Accepted: 4 April 2007

Published: 3 June 2007

Abstract

Automatic digital-signal-type identification plays an important role for various applications. This paper presents a highly efficient identifier (technique) that identifies a variety of digital signal types. In this technique, a selected number of the higher-order moments and the higher-order cumulants up to eighth are utilized as the effective features. A hierarchical support-vector-machine- (SVMs) based structure is proposed for multiclass classification. A genetic algorithm is proposed in order to improve the performance of the identifier. Genetic algorithm selects the suitable parameters of SVMs that are used in the structure of the classifier. Simulation results show that the proposed identifier has high performance for identification of the considered digital signal types even at very low SNRs.

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Authors’ Affiliations

(1)
Faculty of Electrical and Computer Engineering, Noshirvani Institute of Technology, Mazandauan University
(2)
Faculty of Electrical Engineering, Department of Electrical Engineering, Ferdowsi University of Mashad
(3)
Faculty of Computer Engineering and Information Technology, Amirkabir University of Technology

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Copyright

© Ataollah Abrahamzadeh et al. 2007

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.