Linear neural network based blind equalization

Signal Processing

Volumn 76, Issue 1, 1999, Pages 37-42

  Fang, Yong ^a,b   Chow, Tommy W S ^b   Ng, K T ^b  

^a Neijiang Normal College   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; CORRELATION METHODS; DIGITAL COMMUNICATION SYSTEMS; INTERSYMBOL INTERFERENCE; LEARNING ALGORITHMS; MATRIX ALGEBRA; NEURAL NETWORKS; RANDOM PROCESSES;

BLIND EQUALIZATION; LINEAR NEURAL NETWORK;

SIGNAL FILTERING AND PREDICTION;

EID: 0032658534     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(98)00245-X     Document Type: Article

References (20)

1. S.I. Amari, A. Cichocki, Adaptive blind signal processing - neural network approaches, Proc. IEEE 86 (1998) 2026-2048.
2. X.R. Cao, J. Zhu, Blind equalization with a linear feedforward neural network, in: Proc. 5th European Symp. on Artificial Neural Networks, ESANN'97, Bruges, Belgium, April 1997, pp. 267-272.
3. B. Friedlander, B. Porat, Asymptotically optimal estimation of MA and ARMA parameters of non-Gaussian process from high-order statistics, IEEE Trans. Automat. Control 35 (1990) 27-36.
4. G.B. Giannakis, J.M. Mendel, Identification of nonminimum phase systems using higher order statistics, IEEE Trans. Acoust. Speech Signal Process. 37 (1989) 360-377.
5. G.B. Giannakis, A. Swami, On estimating non-minimum phase ARMA models of non-Gaussian processes, IEEE Trans. Acoust. Speech Signal Process. 38 (1990) 478-495.
6. Y. Hua, Fast maximum likelihood for blind identification of multiple FIR channels, IEEE Trans. Signal Process. 44 (1996) 661-672.
7. M. Kristensson, B. Ottersten, Statistical analysis of a subspace method for blind channel identification, in: Proc. IEEE ICASSP, Atlanta, USA, Vol. 5, 1996, pp. 2435-2438.
8. K.S. Lii, M. Rosenblatt, Deconvolution and estimation of transfer function phase and coefficient for non-Gaussian linear processes, Ann. Statist. 10 (1982) 1195-1208.
9. H. Liu, G. Xu, A deterministic approach to blind symbol estimation, IEEE Signal Process. Lett. 1 (1994).
10. H. Liu, G. Xu, Closed-form blind symbol estimation in digital communications, IEEE Trans. Signal Process. 43 (1995) 2714-2723.
11. J.M. Mendel, A. Swami, ARMA parameter estimation using only output cumulants, IEEE Trans. Acoust. Speech Signal Process. 38 (1990) 1257-1265.
12. E. Moulines, P. Duhamel, J.F. Cardoso, S. Mayrargue, Subspace methods for the blind identification of multichannel fir filters, IEEE Trans. Signal Process. 43 (1995) 516-525.
13. C.L. Nikias, ARMA bispectrum approach to nonminimum phase system identification, IEEE Trans. Acoust. Speech Signal Process. 36 (1988) 513-525.
14. W. Qiu, Y. Hua, A GCD method for blind channel identification, Digital Signal Process. 7 (1997) 199-205.
15. F.M. Silva, L.B. Almeida, A distributed solution for data orthonormalization, in: Proc. ICANN, Espoo, Finland, Vol. 2, 1991, pp. 943-948.
16. D.T.M. Slock, Blind fractional space equalization, perfect-reconstruction filter back and multichannel linear prediction, in: Proc. IEEE ICASSP'94, Adelaide, Australia, 1994, pp. 585-588.
17. L. Tong, G. Xu, T. Kailath, Blind identification and equalization based on second-order statistics: a time domain approach, IEEE Trans. Inform. Theory 40 (1994) 340-349.
18. J.K. Tugnait, Identification of non-minimum phase linear stochastic systems, Automatica 22 (1986) 454-464.
19. J.K. Tugnait, Identification of linear stochastic system via second and fourth-order cumulant matching, IEEE Trans. Inform. Theory 33 (1987) 393-407.
20. G. Xu, H. Lui, L. Tong, T. Kailath, A least-squares approach to blind channel identification, IEEE Trans. Signal Process. 43 (1995) 2982-2993.