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Volumn 70, Issue 1-3, 2006, Pages 9-13

Using non-linear even functions for error minimization in adaptive filters

Author keywords

Least mean square; Non linear error

Indexed keywords

ALGORITHMS; COMBINATORIAL MATHEMATICS; LEAST SQUARES APPROXIMATIONS; NONLINEAR CONTROL SYSTEMS;

EID: 33750282230     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.07.001     Document Type: Article
Times cited : (8)

References (8)
  • 2
    • 0028445459 scopus 로고
    • Stochastic gradient adaptation under general error criteria
    • Douglas S.C., and Meng T. Stochastic gradient adaptation under general error criteria. Signal Process. 42 (1994) 1335-1351
    • (1994) Signal Process. , vol.42 , pp. 1335-1351
    • Douglas, S.C.1    Meng, T.2
  • 3
    • 33750317036 scopus 로고    scopus 로고
    • D. Erdogmus, J. Principe, K. Hild II, Beyond second-order statistics for learning: a pairwise interaction model for entropy estimation, Neural Comput. (1) (2002) 85-108.
  • 4
    • 33750309220 scopus 로고    scopus 로고
    • A. Gersho, Some aspects of linear estimation with non-mean square error criteria, Proceedings of Asilomar Ckts. and Systems Conference, 1969.
  • 7
    • 0021392489 scopus 로고
    • The least mean fourth (LMF) adaptive algorithm and its family
    • Walach E., and Widrow B. The least mean fourth (LMF) adaptive algorithm and its family. IEEE Trans. Inform. Theory IT-30 2 (1984)
    • (1984) IEEE Trans. Inform. Theory , vol.IT-30 , Issue.2
    • Walach, E.1    Widrow, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.