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Volumn 50, Issue 9, 2006, Pages 2339-2360

Time-dependent frequency domain principal components analysis of multichannel non-stationary signals

Author keywords

Multivariate locally stationary time series; Principal components analysis; Time varying eigenvalues and eigenvectors; Time varying spectral density matrix

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; FAST FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; SIGNAL PROCESSING; TIME VARYING CONTROL SYSTEMS;

EID: 33644643751     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2004.12.011     Document Type: Article
Times cited : (35)

References (18)
  • 1
    • 0003246268 scopus 로고
    • Signal extraction for non-stationary time series
    • W. Bell Signal extraction for non-stationary time series Ann. Statist. 12 1984 646 664
    • (1984) Ann. Statist. , vol.12 , pp. 646-664
    • Bell, W.1
  • 2
    • 0009911809 scopus 로고
    • Principal components analysis for stationary random function defined on a locally compact group
    • A. Boudou, and J. Dauxois Principal components analysis for stationary random function defined on a locally compact group J. Multivariate Anal. 51 1994 1 16
    • (1994) J. Multivariate Anal. , vol.51 , pp. 1-16
    • Boudou, A.1    Dauxois, J.2
  • 4
    • 0031645454 scopus 로고    scopus 로고
    • Multidimensional independent component analysis
    • Seattle, WA
    • Cardoso, J.F., 1998. Multidimensional independent component analysis. Proceedings of the ICASSP, Seattle, WA.
    • (1998) Proceedings of the ICASSP
    • Cardoso, J.F.1
  • 5
    • 0031518090 scopus 로고    scopus 로고
    • Fitting time series models to nonstationary processes
    • R. Dahlhaus Fitting time series models to nonstationary processes Ann. Statist. 25 1997 1 37
    • (1997) Ann. Statist. , vol.25 , pp. 1-37
    • Dahlhaus, R.1
  • 6
    • 0034343455 scopus 로고    scopus 로고
    • A likelihood approximation for locally stationary processes
    • R. Dahlhaus A likelihood approximation for locally stationary processes Ann. Statist. 28 2001 1762 1794
    • (2001) Ann. Statist. , vol.28 , pp. 1762-1794
    • Dahlhaus, R.1
  • 7
    • 0034364595 scopus 로고    scopus 로고
    • The generalized dynamic-factor model: Identification and estimation
    • M. Forni, M. Hallin, M. Lippi, and L. Reichlin The generalized dynamic-factor model identification and estimation Rev. Econom. Statist. 82 2000 540 554
    • (2000) Rev. Econom. Statist. , vol.82 , pp. 540-554
    • Forni, M.1    Hallin, M.2    Lippi, M.3    Reichlin, L.4
  • 8
    • 0040960779 scopus 로고    scopus 로고
    • Three equivalent methods for filtering nonstationary time series
    • V. Gomez Three equivalent methods for filtering nonstationary time series J. Bus. Econom. Statist. 17 1999 109 116
    • (1999) J. Bus. Econom. Statist. , vol.17 , pp. 109-116
    • Gomez, V.1
  • 10
    • 85012564551 scopus 로고    scopus 로고
    • Automatic statistical analysis of bivariate nonstationary time series
    • H. Ombao, J. Raz, R. von Sachs, and B. Malow Automatic statistical analysis of bivariate nonstationary time series J. Amer. Statist. Assoc. 96 2001 543 560
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 543-560
    • Ombao, H.1    Raz, J.2    Von Sachs, R.3    Malow, B.4
  • 11
    • 2142838600 scopus 로고    scopus 로고
    • A simple GCV method of span selection for periodogram smoothing
    • H. Ombao, J. Raz, J. Strawderman, and R. von Sachs A simple GCV method of span selection for periodogram smoothing Biometrika 88 2001 1186 1192
    • (2001) Biometrika , vol.88 , pp. 1186-1192
    • Ombao, H.1    Raz, J.2    Strawderman, J.3    Von Sachs, R.4
  • 12
    • 20444432356 scopus 로고    scopus 로고
    • The SLEX analysis of multivariate non-stationary time series
    • in press
    • Ombao, H., von Sachs, R., Guo, W., 2005. The SLEX analysis of multivariate non-stationary time series. J. Amer. Statist. Assoc., in press.
    • (2005) J. Amer. Statist. Assoc.
    • Ombao, H.1    Von Sachs, R.2    Guo, W.3
  • 13
    • 0037471416 scopus 로고    scopus 로고
    • Improved frequency selective filters
    • D. Pollock Improved frequency selective filters Comput. Statist. Data Anal. 42 2003 279 297
    • (2003) Comput. Statist. Data Anal. , vol.42 , pp. 279-297
    • Pollock, D.1
  • 14
    • 0009567335 scopus 로고
    • Evolutionary spectra and non-stationary processes
    • M. Priestley Evolutionary spectra and non-stationary processes J. Roy. Statist. Soc. B 28 1965 228 240
    • (1965) J. Roy. Statist. Soc. B , vol.28 , pp. 228-240
    • Priestley, M.1
  • 16
    • 0036970448 scopus 로고    scopus 로고
    • Forecasting principal components from a large number of predictors
    • J.H. Stock, and M.W. Watson Forecasting principal components from a large number of predictors J. Amer. Statist. Assoc. 97 2002 1167 1179
    • (2002) J. Amer. Statist. Assoc. , vol.97 , pp. 1167-1179
    • Stock, J.H.1    Watson, M.W.2
  • 17
    • 0032916963 scopus 로고    scopus 로고
    • Recursive and en-bloc approaches to signal extraction
    • P.C. Young, and D. Pedregal Recursive and en-bloc approaches to signal extraction J. Appl. Statist. 26 1999 103 128
    • (1999) J. Appl. Statist. , vol.26 , pp. 103-128
    • Young, P.C.1    Pedregal, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.