Besign of an SCRFNN-based nonlinear channel equaliser

IEE Proceedings: Communications

Volumn 152, Issue 6, 2005, Pages 771-779

  Lin, R C ^a   Weng, W D ^b   Hsueh, C T ^b  

^a NAN KAI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

NONLINEAR CHANNELS; ONLINEAR PROCESSING; PARAMETER LEARNING; STRUCTURE LEARNING;

COMPUTER HARDWARE; COMPUTER SIMULATION; FUZZY SETS; LEARNING SYSTEMS; ONLINE SYSTEMS; RECURRENT NEURAL NETWORKS;

EQUALIZERS;

EID: 29144455274     PISSN: 13502425     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ip-com:20050296     Document Type: Conference Paper

References (16)

1. Proakis, J.G.: 'Digital communications' (McGraw Hill, 1995, 3rd edn.)
2. Patra, J.C., Pal, R.N., Baliarsingh, R., and Panda, G.: 'Nonlinear channel equalization for QAM signal constellation using artificial neural network', IEEE Trans. Syst. Man, Cybern, 1999, 29, (2)
3. Kechriotis, G., and Manolakos, E.S.: 'Using recurrent neural network for nonlinear and chaotic signal processing'. ICASSP Int. Conf. Acoustic, Speech, and Signal Proc., Apr. 1993, pp. 465-469
4. Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., and Lang, K.: 'Phoneme recognition using time delay neural networks'. Technical Report TR-1-0006, Advanced Telecommunication Research Institute, Japan, 1987
5. Kechriotis, G., Zervas, E., and Manolakos, E.S.: 'Using recurrent neural network for blind equalization of linear and nonlinear communication channels'. IEEE Conf. on Military Communications, San Diego, CA, USA, Oct. 1992, pp. 784-788
6. Lin, F.J., Lin, C.H., and Shen, P.H.: 'Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive', IEEE Trans. Fuzzy Syst., 2001, 9, (5), pp. 751-759
7. Jang, J.-S.R.: 'ANFIS: adaptive network based fuzzy inference system', IEEE Trans. Syst. Man Cybern., 1993, 23, (3)
8. Lin, H., and Yamashita, K.: 'Blind equalization using parallel Bayesian decision feedback equalizer', Math. Comput. Sim., 2001, 56, pp. 247-257
9. Lin, F.J., Fung, R.F., and Wai, R.J.: 'Comparison of sliding mode and fuzzy neural network control for motor-toggle servomechanism', IEEE/ASME Trans. Mechatronics, 1998, 3, pp. 302-318
10. Lin, F.J., Huang, W.J., and Wai, R.J.: 'A supervisory FNN control system for tracking periodic inputs', IEEE Trans. Fuzzy Syst., 1999, 7, pp. 41-52
11. Lin, C.T.: 'A neural fuzzy control system with structure and parameter learning', Fuzzy Sets Syst., 1995, 70, pp. 183-212
12. Lin, F.J., Wai, R.J., and Lee, C.C.: 'Fuzzy neural network position controller for ultrasonic motor drive using push-pull DC-DC converter', IEE Proc. Control Theory Appl., 1999, 146, pp. 99-107
13. Kechriotis, G., Zervas, E., and Manolakos, E.S.: 'Using recurrent neural network for adaptive channel equalization', IEEE Trans. Neural Netw., 1994, 5, (2), pp. 267-278
14. Williams, R.J., and Zipser, D.: 'A learning algorithm for continually running fully recurrent neural network', Neural Comput., 1989, 1, pp. 270-289
15. Chen, S., Mclaughlin, S., and Mulgrew, B.: 'Complex-valued radial basis function network, Part 2: application to digital communication channel equalization', Signal Process., 1994, 36, pp. 165-188
16. Jianping, D., Sundararajan, N., and Saratchandran, P.: 'Complex-valued minimal radial basis function neural network for nonlinear system processing', Int. J. Neural Syst., 2000, 10, (2), pp. 95-106