tailieunhanh - Báo cáo hóa học: " Research Article Digital-Signal-Type Identification Using an Efficient Identifier"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Digital-Signal-Type Identification Using an Efficient Identifier | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 37690 9 pages doi 2007 37690 Research Article Digital-Signal-Type Identification Using an Efficient Identifier Ataollah Abrahamzadeh 1 Seyed Alireza Seyedin 2 and Mehdi Dehghan3 1 Faculty of Electrical and Computer Engineering NoshirvaniInstitute of Technology Mazandauan University . Box 47148-71167 Babol Iran 2 Faculty of Electrical Engineering Department of Electrical Engineering Ferdowsi University ofMashad . Box 91779-48974 Mashad Iran 3 Faculty of Computer Engineering and Information Technology Amirkabir University of Technology . Box 15914 Tehran Iran Received 14 September 2006 Revised 10 February 2007 Accepted 4 April 2007 Recommended by Enis Ahmet Cetin 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. 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. 1. INTRODUCTION Automaticdigital-signal-type identification is a technique that recognizesthe type ofreceived signal and plays an important role in