EURASIP Journal on Advances in Signal Processing
Volume 2007 (2007), Article ID 37690, 9 pages
doi:10.1155/2007/37690
Research Article
Digital-Signal-Type Identification Using an Efficient Identifier
1Faculty of Electrical and Computer Engineering, Noshirvani Institute of Technology, Mazandauan University, P.O. Box 47148-71167, Babol, Iran
2Faculty of Electrical Engineering, Department of Electrical Engineering, Ferdowsi University of Mashad, P.O. Box 91779-48974, Mashad, Iran
3Faculty of Computer Engineering and Information Technology, Amirkabir University of Technology, P.O. Box 15914, Tehran, Iran
Received 14 September 2006; Revised 10 February 2007; Accepted 4 April 2007
Academic Editor: Enis Ahmet Cetin
Copyright © 2007 Ataollah Abrahamzadeh 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.
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.