Comparison of clustering algorithms for analog modulation classification

Expert Systems with Applications

Volumn 30, Issue 4, 2006, Pages 642-649

  Guldemir, Hanifi ^a   Sengur, Abdulkadir ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Clustering; Modulation classification; Modulation recognition

Indexed keywords

COMMUNICATION SYSTEMS; COMPUTER SIMULATION; FUZZY CONTROL; MODULATION; SIGNAL PROCESSING;

CLUSTERING; FUZZY C-MEANS; MODULATION CLASSIFICATION; MODULATION RECOGNITION;

ALGORITHMS;

EID: 33144480517     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.07.014     Document Type: Article

References (25)

1. J. Aisbett Automatic modulation recognition using time-domain parameters Signal Processing 13 1987 323 329
2. Azzouz, E.E., Nandi, A.K. (1996). Automatic modulation recognition of communication signals. Kluwer Academic Publishers.
3. Bezdek, J.C. (1973). Fuzzy mathematics in pattern classification. PhD thesis, Applied Math. Center, Cornell University Ithaca.
4. S.L. Chiu Fuzzy model identification based on cluster estimation Journal of Intelligent and Fuzzy Systems 1994 2
5. D.L. Davies, and D.W. Bouldin A cluster separation measure, IEEE Transaction on Pattern Analysis and Machine Intelligence 1 1979 224 227
6. L. Dominiguez, J. Borallo, and J. Garcia A general approach to automatic classification of radio communication signals Signal Processing 22 1991 239 250
7. Dubuc, C., Boudreau, D., Patenaude, F., Inkol, R. (1999). An automatic modulation recognition algorithm for spectrum monitoring applications. IEEE International Conference on Communications (ICC'99).
8. Duda, R.O., Hart, P.E. (1973). Pattern recognition and scene analysis. John Willey and Sons.
9. D. Gerhard Audio signal classification: An overview Canadian Artificial Intelligence 2000 4 6
10. N. Ghani, and R. Lamontagne Neural networks applied to the classification of spectral features for automatic modulation recognition Military Communication Conference (MILCOM' 93 1993 111 115
11. Jain, A.K., Dubes, R.C. (1988). Algorithms for clustering data. Prentice-Hall, Englewood Cliffs, NJ.
12. Jang, J. S.R., Sun, C.T. (1997). Mizutani, E.: Neuro-fuzzy and soft computing. Prentice Hall.
13. Jondral, F. (1985). Automatic classification of high frequency signals. Signal Processing, 9, 177-190.
14. R. Kothari, and D. Pitts On finding the number of clusters Pattern Recognition Letters 20 1999 405 416
15. U. Maulik, and S. Bandyopadhyay Genetic Algorithm based clustering technique Pattern Recognition 33 2000 1455 1465
16. M.K. Pakhira, S. Bandyopadhyay, and U. Maulic Validity index for crisp and fuzzy clusters Pattern Recognition 37 2004 487 501
17. A. Polydoros, and K. Kim On the detection and classification of quadrature digital modulations in broad-band noise IEEE Transactions on Communications 38 1990 1199 1211
18. B. Sebastiano, F.R. Serpico, and V. Gianni Intelligent control of signal processing algorithms in communications IEEE Journal on Selected Areas in Communications 1994 1553 1565
19. A. Sengur, and H. Guldemir Performance comparison of automatic analog modulation classifiers 3rd International Advanced Technologies Symposium 2003 461 464
20. A. Sengur, and H. Guldemir An educational interface for automatic recognition of analog modulated signals Journal of Applied Sciences 5 2005 513 516
21. S.S. Soliman, and S. Hsue Signal classification using statistical moments IEEE Transactions on Communications 40 1992 908 915
22. X.L. Xie, and G.A. Beni Validity measure for fuzzy clustering, IEEE Transaction on Pattern Analysis and Machine Intelligence 3 1991 841 846
23. R.R. Yager, and D.P. Filev Generation of fuzzy rules by mountain clustering IEEE Transactions on Systems, Man and Cybernetics 24 1994 209 219
24. R.R. Yager, and D.P. Filev Approximate clustering via the mountain method IEEE Transactions on Systems, Man and Cybernetics 24 1994 1279 1284
25. Chürman, J. (1996). Pattern classification. John Willey and Sons,.