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Results: 1-11 |
Results: 11
Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for gaussian inputs (vol 48, pg 557, 2000)
Authors: Bershad, NJ Bouchired, S Castanie, F
Citation: Nj. Bershad et al., Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for gaussian inputs (vol 48, pg 557, 2000), IEEE SIGNAL, 49(9), 2001, pp. 2162-2162
Stochastic analysis of the LMS algorithm with a saturation nonlinearity following the adaptive filter output
Authors: Costa, MH Bermudez, JCM Bershad, NJ
Citation: Mh. Costa et al., Stochastic analysis of the LMS algorithm with a saturation nonlinearity following the adaptive filter output, IEEE SIGNAL, 49(7), 2001, pp. 1370-1387
Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with hermite polynomial expansions
Authors: Bershad, NJ Celka, P McLaughlin, S
Citation: Nj. Bershad et al., Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with hermite polynomial expansions, IEEE SIGNAL, 49(5), 2001, pp. 1060-1072
Stochastic gradient identification of polynomial Wiener systems: Analysis and application
Authors: Celka, P Bershad, NJ Vesin, JM
Citation: P. Celka et al., Stochastic gradient identification of polynomial Wiener systems: Analysis and application, IEEE SIGNAL, 49(2), 2001, pp. 301-313
Analysis of stochastic gradient tracking of time-varying polynomial Wienersystems
Authors: Bershad, NJ Celka, P Vesin, JM
Citation: Nj. Bershad et al., Analysis of stochastic gradient tracking of time-varying polynomial Wienersystems, IEEE SIGNAL, 48(6), 2000, pp. 1676-1686
Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems
Authors: Celka, P Bershad, NJ Vesin, JM
Citation: P. Celka et al., Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems, IEEE SIGNAL, 48(6), 2000, pp. 1820-1825
Mean weight behavior of the filtered-X LMS algorithm
Authors: Tobias, OJ Bermudez, JCM Bershad, NJ
Citation: Oj. Tobias et al., Mean weight behavior of the filtered-X LMS algorithm, IEEE SIGNAL, 48(4), 2000, pp. 1061-1075
Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs
Authors: Bershad, NJ Bouchired, S Castanie, F
Citation: Nj. Bershad et al., Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs, IEEE SIGNAL, 48(2), 2000, pp. 557-560
Non-Wiener behavior of the filtered LMS algorithm
Authors: Bermudez, JCM Bershad, NJ
Citation: Jcm. Bermudez et Nj. Bershad, Non-Wiener behavior of the filtered LMS algorithm, IEEE CIR-II, 46(8), 1999, pp. 1110-1113
Fluctuation analysis of a two-layer backpropagation algorithm used for modeling nonlinear memoryless channels
Authors: Bershad, NJ Ibnkahla, M Blauwens, G Cools, J Soubrane, A Ponson, N
Citation: Nj. Bershad et al., Fluctuation analysis of a two-layer backpropagation algorithm used for modeling nonlinear memoryless channels, IEEE SIGNAL, 47(5), 1999, pp. 1297-1303
Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements
Authors: Bershad, NJ Celka, P Vesin, JM
Citation: Nj. Bershad et al., Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements, IEEE SIGNAL, 47(3), 1999, pp. 675-689
Risultati: 1-11 |