E. Baccarelli and S. Galli, "A new approach based on soft statistics to the nonlinear blind-deconvolution of unknown data channels," IEEE Trans. Signal Processing, vol. 49, pp. 1481--1491, July 2001. Home/Search Document Details and Download
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General State-Space Observers for Chaotic.. - Boutayeb, Darouach.. (2002) (Correct)
....analog I O CNNUC, in Proc. ECCTD 99, Design Automation Day on Cellular Visual Microprocessor, Stresa, Italy, Aug. Sept. 1999, pp. 42 57. 16] M. Gilli, M. Biey, P. P. Civalleri, and P. Checco, Complex dynamics in cellular neural networks, in Proc. ISCAS 01, Sydney, Australia, May 2001. [17] M. Farkas, Perodic Motions. New York: Springer Verlag, 1994, pp. 58 59. 18] T. S. Parker and L. O. Chua, Practical Numerical Algorithms for Chaotic Systems. New York: Springer Verlag, 1989. 19] INSITE A software toolkit for the analysis of nonlinear dynamical systems, Proc.EEE, vol. ....
....of the minimization of the least mean square of the prediction output error [14] 15] Second order and high order statistics have been used for nonminimum phase channel equalization with minimization of different criteria (inverse filter criteria, Wiggins criterion, Tugnait criteria . 16] [17]) Perhaps, the main reason for which the minimum phase condition may be avoided is that all the above approaches are based on the input output description with simplification methods instead of the state space representation. Indeed it is well known (see references [19] 20] that the minimum ....
E. Baccarelli and S. Galli, "A new approach based on soft statistics to the nonlinear blind-deconvolution of unknown data channels," IEEE Trans. Signal Processing, vol. 49, pp. 1481--1491, July 2001.
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E. Baccarelli and S. Galli, "A new approach based on soft statistics to the nonlinear blind-deconvolution of unknown data channels," IEEE Trans. Signal Processing, vol. 49, pp. 1481--1491, July 2001.
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