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Volumn 16, Issue , 2005, Pages 154-159

Time series analysis for irregularly sampled data

Author keywords

Autoregressive model; Nearest neighbor resampling; Order selection; Parametric model; Slotting; Spectral estimation; Time series analysis; Uneven sampling

Indexed keywords

FREQUENCY ESTIMATION; HARMONIC ANALYSIS; SLOTTING; SPECTRUM ANALYSIS;

EID: 79960724664     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/s1474-6670(16)36038-4     Document Type: Conference Paper
Times cited : (1)

References (11)
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  • 3
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    • Autoregressive spectral estimation by application of the Burg algorithm to irregularly sampled data
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    • Bos, R.1    De Waele, S.2    Broersen, P.M.T.3
  • 4
    • 0036543469 scopus 로고    scopus 로고
    • Automatic spectral analysis with time series models
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    • Broersen, P. M. T. (2002). Automatic spectral analysis with time series models. IEEE Trans. on Instrument. and Measurement, 51, pp. 211-216. ARMASA Matlab toolbox, freely available at www.mathworks.com/matlabcentral/ fileexchange.
    • (2002) IEEE Trans. on Instrument. and Measurement , vol.51 , pp. 211-216
    • Broersen, P.M.T.1
  • 5
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    • Estimation of time series spectra with randomly missing data
    • Broersen, P. M. T. and R. Bos (2004). Estimation of time series spectra with randomly missing data. Proc. IEEE/IMTC Conf., Como, pp. 1718-1723.
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  • 7
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    • Broersen, P. M. T., S. de Waele and R. Bos (2004b). Autoregressive spectral analysis when observations are missing. Automatica, 40, pp. 1495-1504.
    • (2004) Automatica , vol.40 , pp. 1495-1504
    • Broersen, P.M.T.1    De Waele, S.2    Bos, R.3
  • 9
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  • 10
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    • Continuous ARMA spectral estimation from irregularly sampled observations
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.