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Volumn 45, Issue 3, 1998, Pages 379-384

A global least mean square algorithm for adaptive IIR filtering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; DIGITAL FILTERS; ERROR ANALYSIS; LEAST SQUARES APPROXIMATIONS;

EID: 0032027427     PISSN: 10577130     EISSN: None     Source Type: Journal    
DOI: 10.1109/82.664244     Document Type: Article
Times cited : (22)

References (23)
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    • Adaptive IIR filtering, Speech Signal Processing Mag. pp. 4-21 1989.
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  • 5
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    • Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing, vol. 3 pp. 467-4183 1990.
    • M. A. Styblinski and T. S. TangExperiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing, Neural Networksvol. 3pp. 467-41831990.
    • Neural Networks
    • Styblinski, M.A.1    Tang, T.S.2
  • 9
    • 0003807773 scopus 로고    scopus 로고
    • 2nd ed. Englewood Cliffs NJ: Prentice-Hall 1991.
    • S. HaykinAdaptive Filter Theory2nd ed. Englewood CliffsNJ: Prentice-Hall1991.
    • Adaptive Filter Theory
    • Haykin, S.1
  • 10
    • 33747767598 scopus 로고    scopus 로고
    • A Stochastic approximation method, vol. 22 pp. 400-407 1951.
    • H. Robins and S. MonroA Stochastic approximation method, Ann. Math. Statist.vol. 22pp. 400-4071951.
    • Ann. Math. Statist.
    • Robins, H.1    Monro, S.2
  • 11
    • 0021630587 scopus 로고    scopus 로고
    • A random perturbation method for 1C yield optimization with deterministic process parameters, in Montreal P.Q. Canada May 1984 pp. 977-980.
    • M. A. Styblinski and L. J. OpalskiA random perturbation method for 1C yield optimization with deterministic process parameters, in Proc. Int. Symp. Circuits Syst.MontrealP.Q.CanadaMay 1984pp. 977-980.
    • Proc. Int. Symp. Circuits Syst.
    • Styblinski, M.A.1    Opalski, L.J.2
  • 12
    • 0024091096 scopus 로고    scopus 로고
    • Yield optimization for nondifferentiable density functions using convolution techniques, vol. 7 pp. 1053-1067 Oct. 1988.
    • T. S. Tang and M. A. StyblinskiYield optimization for nondifferentiable density functions using convolution techniques, IEEE Trans. Computer-Aided Designvol. 7pp. 1053-1067Oct. 1988.
    • IEEE Trans. Computer-Aided Design
    • Tang, T.S.1    Styblinski, M.A.2
  • 13
    • 26444479778 scopus 로고    scopus 로고
    • C. D. Gelatt and M. P. Vecchi Optimization by simulated annealing, vol. 220 pp. 671-680 1983.
    • S. KirkpatrickC. D. Gelattand M. P. VecchiOptimization by simulated annealing, Sciencevol. 220pp. 671-6801983.
    • Science
    • Kirkpatrick, S.1
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  • 18
    • 0024035268 scopus 로고    scopus 로고
    • Application of Benveniste's convergence results in the study of adaptive IIR filtering algorithms, vol. 34 pp. 692-709 July 1988.
    • H. FanApplication of Benveniste's convergence results in the study of adaptive IIR filtering algorithms, IEEE Trans. Inform. Theoryvol. 34pp. 692-709July 1988.
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    • Fan, H.1
  • 20
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    • On some system identification techniques for adaptive filtering, vol. 35 pp. 457-4161 Apr. 1988.
    • T. Söderström and P. StoicaOn some system identification techniques for adaptive filtering, IEEE Trans. Circuits Syst.vol. 35pp. 457-4161Apr. 1988.
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    • Söderström, T.1    Stoica, P.2
  • 22
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    • Note on learning rate schedules for Stochastic optimization, in 3 J. E. Moody S. J. Hanson and R. P. Lippmann Eds. San Mateo CA: Morgan-Kaufmann 1990.
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    • B. de Vries and P. de Oliveira The gamma filter-A new class of adaptive IIR filters with restricted feedback, vol. 41 pp. 649-656 Feb. 1993.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.