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Volumn 16, Issue , 2005, Pages 160-165

A new estimation approach for AR models in presence of noise

Author keywords

Autoregressive models; Parameter estimation; System identification

Indexed keywords

ADDITIVE NOISE; ADDITIVES; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; MONTE CARLO METHODS; WHITE NOISE;

EID: 79960732301     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/s1474-6670(16)36039-6     Document Type: Conference Paper
Times cited : (19)

References (14)
  • 1
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    • The Frisch scheme in dynamic system identification
    • Beghelli, S., R. Guidorzi and U. Soverini (1990). The Frisch scheme in dynamic system identification. Automatica, 26, 171-176.
    • (1990) Automatica , vol.26 , pp. 171-176
    • Beghelli, S.1    Guidorzi, R.2    Soverini, U.3
  • 3
    • 0003807773 scopus 로고
    • Prentice-Hall, Englewood Cliffs, New Jersey
    • Haykin, S. (1991). Adaptive Filter Theory. Prentice-Hall, Englewood Cliffs, New Jersey.
    • (1991) Adaptive Filter Theory
    • Haykin, S.1
  • 7
    • 0003956816 scopus 로고
    • Prentice-Hall, Englewood Cliffs, New Jersey
    • Kay, S. M. (1988). Modern Spectral Estimation. Prentice-Hall, Englewood Cliffs, New Jersey.
    • (1988) Modern Spectral Estimation
    • Kay, S.M.1
  • 9
    • 0346803122 scopus 로고
    • Estimation of models of autoregressive signal plus white noise
    • Pagano M. (1974). Estimation of models of autoregressive signal plus white noise. The Annals of Statistics, 2, 99-108.
    • (1974) The Annals of Statistics , vol.2 , pp. 99-108
    • Pagano, M.1
  • 11
    • 0018767216 scopus 로고
    • Recursive parameter estimation of an autoregressive process disturbed by white noise
    • Sakai, H. and M. Arase (1979). Recursive parameter estimation of an autoregressive process disturbed by white noise. International Journal of Control, 30, 949-966.
    • (1979) International Journal of Control , vol.30 , pp. 949-966
    • Sakai, H.1    Arase, M.2
  • 12
    • 0016535050 scopus 로고
    • Autoregressive model fitting with noisy data by Akaike's information criterion
    • Tong, H. (1975). Autoregressive model fitting with noisy data by Akaike's information criterion. IEEE Transactions on Information Theory, 21, 476-480.
    • (1975) IEEE Transactions on Information Theory , vol.21 , pp. 476-480
    • Tong, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.