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Volumn 143, Issue 3, 1996, Pages 137-142

Convergence and steady-state properties of the least-mean mixed-norm (LMMN) adaptive algorithm

Author keywords

Adaptive flltering; Adaptive signal processing; Indexing terms; Least mean mixed norm adaptive algorithm; Local convergence; Misadjustment

Indexed keywords

ADAPTIVE FILTERING; COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE; STABILITY;

EID: 0030169938     PISSN: 1350245X     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-vis:19960449     Document Type: Article
Times cited : (63)

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    • Signal processing with fractional lower order moments: Stable processes and their applications'
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    • Least mean p-power error criterion for adaptive FIR filter'
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    • Adaptive estimation of the fourth-order cumulant of a white stochastic process'
    • AMBLARD, PO., and BROSSIER, J.M.: ' Adaptive estimation of the fourth-order cumulant of a white stochastic process', Signal Process., 1995, 42, (1), pp. 37-43
    • (1995) Signal Process. , vol.42 , Issue.1 , pp. 37-43
    • Amblard, P.O.1    Brossier, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.