메뉴 건너뛰기




Volumn 48, Issue 6, 2000, Pages 1676-1686

Analysis of stochastic gradient tracking of time-varying polynomial Wiener systems

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; DIGITAL FILTERS; MONTE CARLO METHODS; NONLINEAR FILTERING; NONLINEAR SYSTEMS; POLYNOMIALS; RANDOM PROCESSES; TIME VARYING SYSTEMS;

EID: 0033737956     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.845925     Document Type: Article
Times cited : (20)

References (29)
  • 1
    • 0024771664 scopus 로고    scopus 로고
    • Orthogonal least squares methods and their application to nonlinear system identification
    • vol. 50, pp. 1873-1896, 1989.
    • S. Chen, A. Billings, and W. Euo, "Orthogonal least squares methods and their application to nonlinear system identification," Int. J. Contr., vol. 50, pp. 1873-1896, 1989.
    • Int. J. Contr.
    • Chen, S.1    Billings, A.2    Euo, W.3
  • 2
    • 0024487978 scopus 로고    scopus 로고
    • A robust orthogonal algorithm for system identification and time-series analysis
    • vol. 60, pp. 267-276, 1989.
    • M. J. Korenberg, "A robust orthogonal algorithm for system identification and time-series analysis," Biol. Cybern., vol. 60, pp. 267-276, 1989.
    • Biol. Cybern.
    • Korenberg, M.J.1
  • 3
    • 52449146257 scopus 로고    scopus 로고
    • The identification of nonlinear biological systems-Volterra Kernal approaches
    • vol. 24, pp. 250-268, 1996.
    • M. J. Korenberg and I. W. Hunter, "The identification of nonlinear biological systems-Volterra Kernal approaches," Ann. Biomed. Eng., vol. 24, pp. 250-268, 1996.
    • Ann. Biomed. Eng.
    • Korenberg, M.J.1    Hunter, I.W.2
  • 4
    • 0031189158 scopus 로고    scopus 로고
    • Nonlinear system identification and prediction using orthonormal functions
    • vol. 45, pp. 1842-1853, July 1997.
    • I. Scott and B. Mulgrew, "Nonlinear system identification and prediction using orthonormal functions," IEEE Trans. Signal Processing, vol. 45, pp. 1842-1853, July 1997.
    • IEEE Trans. Signal Processing
    • Scott, I.1    Mulgrew, B.2
  • 5
    • 0031238599 scopus 로고    scopus 로고
    • Application of fast orthogonal search to linear and nonlinear stochastic systems
    • vol. 25, pp. 793-801, 1997.
    • K. H. Chon, M. J. Korenberg, and N. H. Holstein-Rathou, "Application of fast orthogonal search to linear and nonlinear stochastic systems," Ann. Biomed. Eng., vol. 25, pp. 793-801, 1997.
    • Ann. Biomed. Eng.
    • Chon, K.H.1    Korenberg, M.J.2    Holstein-Rathou, N.H.3
  • 6
    • 0026116468 scopus 로고    scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • vol. 39, pp. 302-309, Feb. 1991.
    • S. Chen, C. F. N. Cowan, and P. M. Grant, "Orthogonal least squares learning algorithm for radial basis function networks," IEEE Trans. Signal Processing, vol. 39, pp. 302-309, Feb. 1991.
    • IEEE Trans. Signal Processing
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 7
    • 0025669403 scopus 로고    scopus 로고
    • Practical identification of NARMAX models using radial basis functions
    • vol. 52, pp. 1327-1350, 1990.
    • S. Chen, A. Billings, C. F. N. Cowan, and P. M. Grant, "Practical identification of NARMAX models using radial basis functions," Int. J. Contr., vol. 52, pp. 1327-1350, 1990.
    • Int. J. Contr.
    • Chen, S.1    Billings, A.2    Cowan, C.F.N.3    Grant, P.M.4
  • 8
    • 0025448276 scopus 로고    scopus 로고
    • Nonlinear system identification using neural networks
    • vol. 51, pp. 1191-1214, 1990.
    • S. Chen, A. Billings, and P. M. Grant, "Nonlinear system identification using neural networks," Int. J. Contr., vol. 51, pp. 1191-1214, 1990.
    • Int. J. Contr.
    • Chen, S.1    Billings, A.2    Grant, P.M.3
  • 9
    • 0026220795 scopus 로고    scopus 로고
    • Steady-state analysis of a single layer perceptron based on a system identification model with bias terms
    • vol. 38, pp. 1030-1042, Sept. 1991.
    • J. J. Shynk and N.J. Bershad, "Steady-state analysis of a single layer perceptron based on a system identification model with bias terms," IEEE Trans. Circuits Syst., vol. 38, pp. 1030-1042, Sept. 1991.
    • IEEE Trans. Circuits Syst.
    • Shynk, J.J.1    Bershad, N.J.2
  • 10
    • 0027542458 scopus 로고    scopus 로고
    • Statistical analysis of the single-layer back-propagation algorithm-Part I: Mean weight behavior
    • vol. 41, pp. 573-581, Feb. 1993.
    • N. J. Bershad, J. J. Shynk, and P. E. Feintuch, "Statistical analysis of the single-layer back-propagation algorithm-Part I: Mean weight behavior," IEEE Trans. Signal Processing, vol. 41, pp. 573-581, Feb. 1993.
    • IEEE Trans. Signal Processing
    • Bershad, N.J.1    Shynk, J.J.2    Feintuch, P.E.3
  • 11
    • 0027539557 scopus 로고    scopus 로고
    • Statistical analysis of the single-layer back-propagation algorithm-Part II: MSE and classification performance
    • vol. 41, pp. 583-591, Feb. 1993.
    • -, "Statistical analysis of the single-layer back-propagation algorithm-Part II: MSE and classification performance," IEEE Trans. Signal Processing, vol. 41, pp. 583-591, Feb. 1993.
    • IEEE Trans. Signal Processing
  • 12
    • 0031096514 scopus 로고    scopus 로고
    • Statistical analysis of a two-layer backpropagation algorithm used for modeling memoryless channels: The single neuron case
    • vol. 45, pp. 747-756, Mar. 1997.
    • N. J. Bershad, M. Ibnkahla, and F. Castanie, "Statistical analysis of a two-layer backpropagation algorithm used for modeling memoryless channels: The single neuron case," IEEE Trans. Signal Processing, vol. 45, pp. 747-756, Mar. 1997.
    • IEEE Trans. Signal Processing
    • Bershad, N.J.1    Ibnkahla, M.2    Castanie, F.3
  • 13
    • 0032071052 scopus 로고    scopus 로고
    • Neural network modeling and identification of nonlinear channels with memory: Algorithms, applications and analytic models
    • vol. 46, pp. 1208-1220, May 1998.
    • M. Ibnkahla, N. J. Bershad, J. Sombrin, and F. Castanie, "Neural network modeling and identification of nonlinear channels with memory: Algorithms, applications and analytic models," IEEE Trans. Signal Processing, vol. 46, pp. 1208-1220, May 1998.
    • IEEE Trans. Signal Processing
    • Ibnkahla, M.1    Bershad, N.J.2    Sombrin, J.3    Castanie, F.4
  • 14
    • 33747769693 scopus 로고    scopus 로고
    • Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements
    • vol. 47, pp. 675-689, Mar. 1999.
    • N. J. Bershad, P. Celka, and J. M. Vesin, "Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements," IEEE Trans. Signal Processing, vol. 47, pp. 675-689, Mar. 1999.
    • IEEE Trans. Signal Processing
    • Bershad, N.J.1    Celka, P.2    Vesin, J.M.3
  • 15
    • 0033906390 scopus 로고    scopus 로고
    • Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs
    • vol. 48, pp. 557-560, Feb. 2000.
    • N. J. Bershad, S. Bouchired, and F. Castanie, "Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs," IEEE Trans. Signal Processing, vol. 48, pp. 557-560, Feb. 2000.
    • IEEE Trans. Signal Processing
    • Bershad, N.J.1    Bouchired, S.2    Castanie, F.3
  • 16
    • 0032629714 scopus 로고    scopus 로고
    • Analysis of stochastic gradient identification of polynomial nonlinear systems with memory
    • Speech, Signal Process., Phoenix, AZ, Mar. 1999.
    • P. Celka, N.J. Bershad, and J.-M. Vesin, "Analysis of stochastic gradient identification of polynomial nonlinear systems with memory," in Proc. Int. Conf. Acoust., Speech, Signal Process., Phoenix, AZ, Mar. 1999.
    • Proc. Int. Conf. Acoust.
    • Celka, P.1    Bershad, N.J.2    Vesin, J.-M.3
  • 18
    • 0346068017 scopus 로고    scopus 로고
    • Cross-correlation functions of amplitude distorted Gaussian signals
    • Mass. Inst. Technol., Cambridge, Tech. Rep. 216, Mar. 1952.
    • J. J. Bussgang, "Cross-correlation functions of amplitude distorted Gaussian signals," Res. Lab. Electron., Mass. Inst. Technol., Cambridge, Tech. Rep. 216, Mar. 1952.
    • Res. Lab. Electron.
    • Bussgang, J.J.1
  • 23
    • 0017523373 scopus 로고    scopus 로고
    • Identification of nonlinear systems using the Wiener model
    • vol. 17, pp. 502-504, 1977.
    • S. A. Billings and S. Y. Fakhouri, "Identification of nonlinear systems using the Wiener model," Electron. Lett., vol. 17, pp. 502-504, 1977.
    • Electron. Lett.
    • Billings, S.A.1    Fakhouri, S.Y.2
  • 25
    • 0031162641 scopus 로고    scopus 로고
    • Necessary and sufficient conditions for stability of LMS
    • vol. 42, pp. 761-770, 1997.
    • L. Guo, L. Ljung, and G.-J. Wang, "Necessary and sufficient conditions for stability of LMS," IEEE Trans. Automat. Contr., vol. 42, pp. 761-770, 1997.
    • IEEE Trans. Automat. Contr.
    • Guo, L.1    Ljung, L.2    Wang, G.-J.3
  • 26
    • 0030400227 scopus 로고    scopus 로고
    • Convergence of the delayed normalized LMS algorithm with decreasing step-size
    • vol. 44, pp. 3008-3016, Nov. 1996.
    • S. S. Ahn and P. J. Voltz, "Convergence of the delayed normalized LMS algorithm with decreasing step-size," IEEE Trans. Signal Processing, vol. 44, pp. 3008-3016, Nov. 1996.
    • IEEE Trans. Signal Processing
    • Ahn, S.S.1    Voltz, P.J.2
  • 27
    • 0029486018 scopus 로고    scopus 로고
    • Exact expectation analysis of the LMS adaptive filter
    • vol. 43, pp. 2863-2871, Oct. 1995.
    • S. C. Douglas and W. M. Pan, "Exact expectation analysis of the LMS adaptive filter," IEEE Trans. Signal Processing, vol. 43, pp. 2863-2871, Oct. 1995.
    • IEEE Trans. Signal Processing
    • Douglas, S.C.1    Pan, W.M.2
  • 28
    • 0030412294 scopus 로고    scopus 로고
    • Adaptive Volterra filters using orthogonal structures
    • vol. 3, pp. 307-309, Dec. 1996.
    • V. J. Mathews, "Adaptive Volterra filters using orthogonal structures," IEEE Signal Processing Lett., vol. 3, pp. 307-309, Dec. 1996.
    • IEEE Signal Processing Lett.
    • Mathews, V.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.