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Volumn 16, Issue PART 1, 2012, Pages 1276-1281

Adaptable functional series TARMA models for non-stationary signal modelling

Author keywords

ARMA models; Non stationary signals; Splines; Time varying systems

Indexed keywords

AUTOREGRESSIVE MOVING AVERAGE MODEL; CONSTRAINED OPTIMIZATION; FUNCTIONS; MONTE CARLO METHODS; QUADRATIC PROGRAMMING; SPLINES; TIME VARYING SYSTEMS;

EID: 84867086729     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20120711-3-BE-2027.00200     Document Type: Conference Paper
Times cited : (10)

References (11)
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    • Golub, G. and Pereyra, V. (1973). The Differentation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate. SIAM Journal on Numerical Analysis, 10(2), 413-432.
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    • Golub, G.1    Pereyra, V.2
  • 5
    • 79951555672 scopus 로고    scopus 로고
    • Time-varying model identification for time-frequency feature extraction from EEG data
    • Li, Y., Wei, H.L., Billings, S., and Sarrigiannis, P. (2011). Time-Varying Model Identification for Time-Frequency Feature Extraction from EEG Data. Journal of Neuroscience Methods, 196(1), 151-158.
    • (2011) Journal of Neuroscience Methods , vol.196 , Issue.1 , pp. 151-158
    • Li, Y.1    Wei, H.L.2    Billings, S.3    Sarrigiannis, P.4
  • 6
    • 85098056778 scopus 로고    scopus 로고
    • Springer Series in Operation Research and Financial Engineering. Springer, 2nd edition
    • Nocedal, J. and Wright, S. (2006). Numerical Optimization. Springer Series in Operation Research and Financial Engineering. Springer, 2nd edition.
    • (2006) Numerical Optimization
    • Nocedal, J.1    Wright, S.2
  • 7
    • 67650160420 scopus 로고    scopus 로고
    • A robust variable forgetting factor recursive least-squares algorithm for system identification
    • Paleologu, C., Benesty, J., and Ciochinǎ, S. (2008). A Robust Variable Forgetting Factor Recursive Least-Squares Algorithm for System Identification. IEEE Signal Processing Letters, 15, 597-600.
    • (2008) IEEE Signal Processing Letters , vol.15 , pp. 597-600
    • Paleologu, C.1    Benesty, J.2    Ciochinǎ, S.3
  • 8
    • 31044433474 scopus 로고    scopus 로고
    • Parametric TimeDomain methods for non-stationary random vibration modelling and analysis - A critical survey and comparison
    • Poulimenos, A. and Fassois, S. (2006). Parametric TimeDomain Methods for Non-Stationary Random Vibration Modelling and Analysis - A critical survey and comparison. Mechanical Systems and Signal Processing, 20(4), 763-816.
    • (2006) Mechanical Systems and Signal Processing , vol.20 , Issue.4 , pp. 763-816
    • Poulimenos, A.1    Fassois, S.2
  • 10
    • 71049138477 scopus 로고    scopus 로고
    • Output-only identification and dynamic analysis of time-varying mechanical structures under random excitation: A comparative assessment of parametric methods
    • Spiridonakos, M., Poulimenos, A., and Fassois, S. (2010). Output-Only Identification and Dynamic Analysis of Time-Varying Mechanical Structures Under Random Excitation: A comparative assessment of parametric methods. Journal of Sound and Vibration, 329(7), 768-785.
    • (2010) Journal of Sound and Vibration , vol.329 , Issue.7 , pp. 768-785
    • Spiridonakos, M.1    Poulimenos, A.2    Fassois, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.