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Volumn 46, Issue 3, 1998, Pages 691-708

Product high-order ambiguity function for multicomponent polynomial-phase signal modeling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PARAMETER ESTIMATION; PERTURBATION TECHNIQUES; POLYNOMIALS; SIGNAL PROCESSING;

EID: 0032025568     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.661336     Document Type: Article
Times cited : (367)

References (37)
  • 25
    • 0030234764 scopus 로고    scopus 로고
    • Blind deconvolution of polynomial phase signals using the high-order ambiguity function
    • _, "Blind deconvolution of polynomial phase signals using the high-order ambiguity function," Signal Process., vol. 53, no. 2-3, pp. 149-163, Sept. 1996.
    • Signal Process., Vol. 53, No. 2-3, Pp. 149-163, Sept. 1996.
  • 26
    • 0030150251 scopus 로고    scopus 로고
    • Asymptotic statistical analysis of the high order ambiguity function for parameter estimation of polynomial-phase signals
    • _, "Asymptotic statistical analysis of the high order ambiguity function for parameter estimation of polynomial-phase signals," IEEE Trans. Inform. Theory, vol. 42, pp. 995-1001, May 1996.
    • IEEE Trans. Inform. Theory, Vol. 42, Pp. 995-1001, May 1996.
  • 35
    • 33747741342 scopus 로고    scopus 로고
    • Random amplitude and polynomial phase modeling of nonstationary processes using higher-order and cyclic statistics
    • G. Zhou, "Random amplitude and polynomial phase modeling of nonstationary processes using higher-order and cyclic statistics," Ph.D. dissertation, Univ. Virginia, Charlottesville, Jan. 1995.
    • Ph.D. Dissertation, Univ. Virginia, Charlottesville, Jan. 1995.
    • Zhou, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.