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Volumn 19, Issue 3, 2006, Pages 289-304

Multiscale finite impulse response modeling

Author keywords

Finite impulse response model; Multiscale; Regression

Indexed keywords

APPROXIMATION THEORY; DATABASE SYSTEMS; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 31744434940     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2005.09.007     Document Type: Article
Times cited : (14)

References (19)
  • 1
    • 0032118892 scopus 로고    scopus 로고
    • Multiscale PCA with application to multivariate statistical process monitoring
    • B.R. Bakshi Multiscale PCA with application to multivariate statistical process monitoring AIChE Journal 44 7 1998 1596 1610
    • (1998) AIChE Journal , vol.44 , Issue.7 , pp. 1596-1610
    • Bakshi, B.R.1
  • 2
    • 0000307067 scopus 로고    scopus 로고
    • Multiscale analysis and modeling using wavelets
    • B.R. Bakshi Multiscale analysis and modeling using wavelets Journal of Chemometrics 13 3-4 1999 415 434
    • (1999) Journal of Chemometrics , vol.13 , Issue.3-4 , pp. 415-434
    • Bakshi, B.R.1
  • 4
    • 2842543935 scopus 로고    scopus 로고
    • Identification of finite impulse response models: Methods and robustness issues
    • B.S. Dayal, and J.F. McGregor Identification of finite impulse response models: methods and robustness issues Industrial and Engineering Chemistry Research 35 1996 4078 4090
    • (1996) Industrial and Engineering Chemistry Research , vol.35 , pp. 4078-4090
    • Dayal, B.S.1    McGregor, J.F.2
  • 5
    • 84952149204 scopus 로고
    • A statistical view of some chemometric regression tools
    • I.E. Frank, and J.H. Friedman A statistical view of some chemometric regression tools Technometrics 35 2 1993 109 148
    • (1993) Technometrics , vol.35 , Issue.2 , pp. 109-148
    • Frank, I.E.1    Friedman, J.H.2
  • 7
    • 0001795946 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • A.E. Hoerl, and R.W. Kennard Ridge regression: biased estimation for nonorthogonal problems Technometrics 8 1970 27 52
    • (1970) Technometrics , vol.8 , pp. 27-52
    • Hoerl, A.E.1    Kennard, R.W.2
  • 11
    • 0002816744 scopus 로고
    • Multivariate identification: A study of several methods
    • Toulouse, France
    • McGregor, J., Kourti, T., Kresta, J., 1991. Multivariate identification: a study of several methods. In: IFAC ADCHEM Proceedings, Toulouse, France.
    • (1991) IFAC ADCHEM Proceedings
    • McGregor, J.1    Kourti, T.2    Kresta, J.3
  • 12
    • 0031696282 scopus 로고    scopus 로고
    • FIR model identification: Achieving parsimony through kernel compression with wavelets
    • M. Nikolaou, and P. Vuthandam FIR model identification: achieving parsimony through kernel compression with wavelets AIChE Journal 44 1 1998 141 150
    • (1998) AIChE Journal , vol.44 , Issue.1 , pp. 141-150
    • Nikolaou, M.1    Vuthandam, P.2
  • 13
    • 0032943498 scopus 로고    scopus 로고
    • Online multiscale filtering of random and gross errors without process models
    • M.N. Nounou, and B.R. Bakshi Online multiscale filtering of random and gross errors without process models AIChE Journal 45 5 1999 1041 1058
    • (1999) AIChE Journal , vol.45 , Issue.5 , pp. 1041-1058
    • Nounou, M.N.1    Bakshi, B.R.2
  • 14
    • 0036706987 scopus 로고    scopus 로고
    • Process modeling by Bayesian latent variable regression
    • M.N. Nounou, B.R. Bakshi, P.K. Goel, and X. Shen Process modeling by Bayesian latent variable regression AIChE Journal 48 8 2002 1775 1793
    • (2002) AIChE Journal , vol.48 , Issue.8 , pp. 1775-1793
    • Nounou, M.N.1    Bakshi, B.R.2    Goel, P.K.3    Shen, X.4
  • 15
    • 0030104416 scopus 로고    scopus 로고
    • Process identification using discrete wavelet transform: Design of prefilters
    • S. Palavajjhala, R. Motrad, and B. Joseph Process identification using discrete wavelet transform: design of prefilters AIChE Journal 42 3 1996 777 790
    • (1996) AIChE Journal , vol.42 , Issue.3 , pp. 777-790
    • Palavajjhala, S.1    Motrad, R.2    Joseph, B.3
  • 16
    • 0023952731 scopus 로고
    • The use of biased least-squares estimators for parameters in discrete- time pulse-response models
    • N.L. Ricker The use of biased least-squares estimators for parameters in discrete- time pulse-response models Industrial and Engineering Chemistry Research 27 2 1988 243
    • (1988) Industrial and Engineering Chemistry Research , vol.27 , Issue.2 , pp. 243
    • Ricker, N.L.1
  • 17
    • 0031672660 scopus 로고    scopus 로고
    • Extraction of impulse response data via wavelet transform for structural system identification
    • A.N. Robertson, K.C. Park, and K.F. Alvin Extraction of impulse response data via wavelet transform for structural system identification Journal of Vibration and Acoustics 120 1998 252 260
    • (1998) Journal of Vibration and Acoustics , vol.120 , pp. 252-260
    • Robertson, A.N.1    Park, K.C.2    Alvin, K.F.3
  • 18
    • 0002539433 scopus 로고
    • Identification of finite impulse response models by principal component regression: Frequency-response properties
    • B.M. Wise, and N.L. Ricker Identification of finite impulse response models by principal component regression: frequency-response properties Process Control and Quality 4 1992 77 86
    • (1992) Process Control and Quality , vol.4 , pp. 77-86
    • Wise, B.M.1    Ricker, N.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.