Neural blind deconvolution of MIMO noisy channels

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

Volumn 48, Issue 1, 2001, Pages 116-120

  Chow, Tommy W S ^a   Fang, Yong ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; DELAY CIRCUITS; FIR FILTERS; GAUSSIAN NOISE (ELECTRONIC); INTERFERENCE SUPPRESSION; LEARNING ALGORITHMS; NEURAL NETWORKS;

ADAPTIVE LEARNING ALGORITHM; HERAULT-JUTTEN NETWORK; MULTIINPUT MULTIOUTPUT CHANNELS; NEURAL BLIND DECONVOLUTION; NOISY SIGNAL; ZERO MEAN GAUSSIAN SIGNAL;

SIGNAL FILTERING AND PREDICTION;

EID: 0035081946     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/81.903195     Document Type: Article

References (9)

1. J.K. Tugnait, "On blind M.I.M.O. channel estimation and blind signal separation in unknown additive noise," in Proc. 1997 IEEE 1st Workshop n Signal Processing Advances in Wireless Communications, Paris, France, Apr. 1997, pp. 53-56.
2. L. Tong, G. Xu, and T. Kailath, "Blind identification and equalization based on second order statistics: A time domain approach," IEEE Trans. Inform. Theory, vol. 40, pp. 340-349, March, 1994.
3. S. Choi and A. Cichocki, "Blind signal deconvolution by spatio-temporal decorrelation and demixing," in Proc. 1997 IEEE Signal Processing Society Workshop, Neural Networks for Signal Processing VII, 1997, pp. 426-435.
4. J.B. D. Filho, G. Favier, and J. M. T. Romano, "Neural networks for blind equalization," in Proc. IEEE GLOBECOM'96, vol. l, London, U.K., pp. 196-200.
5. X.R. Cao and J. Zhu, "Blind equalization with a linear feedforward neural network," in Proc. ESANN'97, . 1997, pp. 249-254.
6. Y. Fang and T.W. S. Chow, "Blind equalization of a noisy channel by linear neural network," IEEE Trans. Neural Networks, vol. 10, pp. 918-924, July 1999.
7. J. Karhunen, A. Cichocki, W. Kasprzak, and P. Pajunen, "On neural blind separation with noise suppression and redundancy reduction," Int.J. Neural Syst., vol. 8, no. 2, pp. 219-237, 1997.
8. A. Cichocki, R.E. Bogner, and L. Moszczynski, "Modified Herault-Jutten algorithms for blind separation of sources," Digital Signal Process., vol. 7, no. 7, pp. 80-93, 1997.
9. C. JuttenandJ. Hérault, "Blind separation of sources, Part I: An adaptive algorithm based neuromimetic architecture," Signal Process., vol. 24, no. l,pp. 1-20, 1991.