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Volumn 6, Issue , 2003, Pages 377-380

An Optimised Normalised LMF Algorithm For Sub-Gaussian Noise

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ERROR CORRECTION; OPTIMIZATION;

EID: 0141630634     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 2
    • 0021392489 scopus 로고
    • The least mean fourth (LMF) adaptive algorithm and its family
    • March
    • E. Walach and B. Widrow, "The least mean fourth (LMF) adaptive algorithm and its family," IEEE Trans. Inf. Theory, vol. IT-30, No. 1, pp.275-283, March 1984.
    • (1984) IEEE Trans. Inf. Theory , vol.IT-30 , Issue.1 , pp. 275-283
    • Walach, E.1    Widrow, B.2
  • 4
    • 84937053555 scopus 로고    scopus 로고
    • Stability conditions for adaptive algorithms with non-quadratic error criteria
    • Sept.
    • S. Koike, "Stability conditions for adaptive algorithms with non-quadratic error criteria," X Euro. Sig. Process. Conf. Eusipco2000, vol. 2, pp. 131-134, Sept. 2000.
    • (2000) X Euro. Sig. Process. Conf. Eusipco2000 , vol.2 , pp. 131-134
    • Koike, S.1
  • 6
    • 84960875303 scopus 로고    scopus 로고
    • Using a normalised LMF Algorithm for channel equalisation with co-channel interference
    • Sept.
    • M.K. Chan and C.F.N. Cowan, "Using a normalised LMF Algorithm for channel equalisation with co-channel interference," XI Euro. Sig. Process. Conf. Eusipco2002, vol. 2, pp. 49-51, Sept. 2002.
    • (2002) XI Euro. Sig. Process. Conf. Eusipco2002 , vol.2 , pp. 49-51
    • Chan, M.K.1    Cowan, C.F.N.2
  • 7
    • 0026896422 scopus 로고
    • A variable step size LMS algorithm
    • July
    • R.H. Kwong and E.W. Johnston, "A variable step size LMS algorithm," IEEE Trans. Signal Processing, vol. 40, No. 7, pp. 1633-1642, July 1992.
    • (1992) IEEE Trans. Signal Processing , vol.40 , Issue.7 , pp. 1633-1642
    • Kwong, R.H.1    Johnston, E.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.