메뉴 건너뛰기




Volumn 86, Issue 10, 2006, Pages 2863-2876

Consistent estimation of autoregressive parameters from noisy observations based on two interacting Kalman filters

Author keywords

AR parameters; Consistent estimation; Instrumental variables; Kalman filters

Indexed keywords

ALGORITHMS; KALMAN FILTERING; PROBLEM SOLVING; RECURSIVE FUNCTIONS; REGRESSION ANALYSIS; SIGNAL PROCESSING;

EID: 33745698076     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2005.12.001     Document Type: Article
Times cited : (39)

References (34)
  • 1
    • 33745715714 scopus 로고    scopus 로고
    • Coding of Speech at 16 kbit/s Using Low-Delay Code Excited Linear Prediction, CCITT Recommendation G.728, 1992.
  • 2
    • 0033099433 scopus 로고    scopus 로고
    • A single microphone Kalman filter-based noise canceller
    • Gabrea M., Grivel E., and Najim M. A single microphone Kalman filter-based noise canceller. IEEE Signal Process. Lett. 6 3 (March 1999) 53-55
    • (1999) IEEE Signal Process. Lett. , vol.6 , Issue.3 , pp. 53-55
    • Gabrea, M.1    Grivel, E.2    Najim, M.3
  • 3
    • 0032123744 scopus 로고    scopus 로고
    • iterative and sequential Kalman filter-based speech enhancement algorithms
    • Gannot S., Burchtein D., and Weinstein E. iterative and sequential Kalman filter-based speech enhancement algorithms. IEEE Trans. Signal Process. 6 4 (July 1998) 373-385
    • (1998) IEEE Trans. Signal Process. , vol.6 , Issue.4 , pp. 373-385
    • Gannot, S.1    Burchtein, D.2    Weinstein, E.3
  • 4
    • 0036887968 scopus 로고    scopus 로고
    • Speech enhancement as a realization issue
    • Grivel E., Gabrea M., and Najim M. Speech enhancement as a realization issue. Signal Process. 82 (December 2002) 1963-1978
    • (2002) Signal Process. , vol.82 , pp. 1963-1978
    • Grivel, E.1    Gabrea, M.2    Najim, M.3
  • 5
    • 0034796777 scopus 로고    scopus 로고
    • AR spectral analysis of EEG signal by using maximum likelihood estimation
    • Güler I., Kiymik M.K., Akin M., and Alkan A. AR spectral analysis of EEG signal by using maximum likelihood estimation. Comput. Biol. Med. 31 (2001) 441-450
    • (2001) Comput. Biol. Med. , vol.31 , pp. 441-450
    • Güler, I.1    Kiymik, M.K.2    Akin, M.3    Alkan, A.4
  • 6
    • 0024763784 scopus 로고
    • Autoregressive spectral estimation of fetal breathing movement
    • Ansourian M.N., Dripps J.H., Beattie G.J., and Boddy K. Autoregressive spectral estimation of fetal breathing movement. IEEE Trans. Biomed. Eng. 36 11 (November 1989) 1076-1084
    • (1989) IEEE Trans. Biomed. Eng. , vol.36 , Issue.11 , pp. 1076-1084
    • Ansourian, M.N.1    Dripps, J.H.2    Beattie, G.J.3    Boddy, K.4
  • 7
    • 33748196403 scopus 로고    scopus 로고
    • Adaptive AR modelling of nonstationary time series by means of Kalman filtering
    • Arnold M., Miltner W.H.R., Witte H., Bauer R., and Braun C. Adaptive AR modelling of nonstationary time series by means of Kalman filtering. IEEE Trans. Biomed. Eng. 45 5 (May 1998) 553-562
    • (1998) IEEE Trans. Biomed. Eng. , vol.45 , Issue.5 , pp. 553-562
    • Arnold, M.1    Miltner, W.H.R.2    Witte, H.3    Bauer, R.4    Braun, C.5
  • 10
    • 0019053269 scopus 로고
    • A new autoregressive spectrum analysis algorithm
    • Marple L. A new autoregressive spectrum analysis algorithm. IEEE Trans. Acoust. Speech Signal Process. 28 4 (August 1980) 441-454
    • (1980) IEEE Trans. Acoust. Speech Signal Process. , vol.28 , Issue.4 , pp. 441-454
    • Marple, L.1
  • 11
    • 33745687412 scopus 로고    scopus 로고
    • B. Widrow, S.D. Stearns, in: A.V. Oppenheim (Ed.), Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1985.
  • 12
    • 33745701633 scopus 로고    scopus 로고
    • B.D.O. Anderson, J.B. Moore, in: T. Kailath, (Ed.), Optimal Filtering, Prentice-Hall, Englewood Cliffs, NJ, 1979.
  • 13
    • 0018530994 scopus 로고
    • The effects of noise on the autoregressive spectral estimator
    • Kay S.M. The effects of noise on the autoregressive spectral estimator. IEEE Trans. Acoust. Speech Signal Process. 27 5 (October 1979) 478-485
    • (1979) IEEE Trans. Acoust. Speech Signal Process. , vol.27 , Issue.5 , pp. 478-485
    • Kay, S.M.1
  • 14
    • 12544258985 scopus 로고    scopus 로고
    • Fast identification of autoregressive signals from noisy observations
    • Zheng W.X. Fast identification of autoregressive signals from noisy observations. IEEE Trans. Circuits Systems II: Express Briefs 52 1 (January 2005) 43-48
    • (2005) IEEE Trans. Circuits Systems II: Express Briefs , vol.52 , Issue.1 , pp. 43-48
    • Zheng, W.X.1
  • 16
    • 0031636194 scopus 로고    scopus 로고
    • W. X. Zheng, Unbiased identification of autoregressive signals observed in colored noise, Proceedings of the ICASSP, vol. 4, Seattle, May 1998, pp. 2329-2332.
  • 17
    • 0035369093 scopus 로고    scopus 로고
    • On the noise-compensated Yule-Walker equations
    • Davila C.E. On the noise-compensated Yule-Walker equations. IEEE Trans. Signal Process. 49 6 (June 2001) 1119-1121
    • (2001) IEEE Trans. Signal Process. , vol.49 , Issue.6 , pp. 1119-1121
    • Davila, C.E.1
  • 18
    • 0031999199 scopus 로고    scopus 로고
    • A subspace approach to estimation of autoregressive parameters from noisy measurements
    • Davila C.E. A subspace approach to estimation of autoregressive parameters from noisy measurements. IEEE Trans. Signal Process. 46 2 (February 1998) 531-534
    • (1998) IEEE Trans. Signal Process. , vol.46 , Issue.2 , pp. 531-534
    • Davila, C.E.1
  • 19
    • 0037361740 scopus 로고    scopus 로고
    • Parameter estimation of multichannel autoregressive processes in noise
    • Hasan K., Hossain J., and Haque A. Parameter estimation of multichannel autoregressive processes in noise. Signal Process. 83 (January 2003) 603-610
    • (2003) Signal Process. , vol.83 , pp. 603-610
    • Hasan, K.1    Hossain, J.2    Haque, A.3
  • 20
    • 0018433621 scopus 로고
    • Transient and convergent behavior of the adaptive line enhancer
    • Treichler J.R. Transient and convergent behavior of the adaptive line enhancer. IEEE Trans. Acoust. Speech Signal Process. 27 1 (February 1979) 53-62
    • (1979) IEEE Trans. Acoust. Speech Signal Process. , vol.27 , Issue.1 , pp. 53-62
    • Treichler, J.R.1
  • 21
    • 0031146697 scopus 로고    scopus 로고
    • Adaptive AR modeling in white Gaussian noise
    • Wu W.-R., and Chen P.-C. Adaptive AR modeling in white Gaussian noise. IEEE Trans. Signal Process. 45 5 (May 1997) 1184-1191
    • (1997) IEEE Trans. Signal Process. , vol.45 , Issue.5 , pp. 1184-1191
    • Wu, W.-R.1    Chen, P.-C.2
  • 22
    • 0004408003 scopus 로고    scopus 로고
    • M. Deriche, AR parameter estimation from noisy data using the EM algorithm, in: Proceedings of the ICASSP, vol. 4, Adelaide, April 1994, pp. 69-72.
  • 23
    • 84912153144 scopus 로고
    • Identification of linear discrete time systems using the instrumental variable method
    • Wong K.Y., and Polak E. Identification of linear discrete time systems using the instrumental variable method. IEEE Trans. Automat. Control 12 6 (December 1967) 707-718
    • (1967) IEEE Trans. Automat. Control , vol.12 , Issue.6 , pp. 707-718
    • Wong, K.Y.1    Polak, E.2
  • 24
    • 0020737023 scopus 로고
    • Instrumental variable methods for ARMA spectral estimation
    • Friedlander B. Instrumental variable methods for ARMA spectral estimation. IEEE Trans. Acoust. Speech Signal Process. 31 2 (April 1983) 404-415
    • (1983) IEEE Trans. Acoust. Speech Signal Process. , vol.31 , Issue.2 , pp. 404-415
    • Friedlander, B.1
  • 25
    • 0029293271 scopus 로고
    • Adaptive instrumental variable method for robust direction-of-arrival estimation
    • Stoica P., Cedervall M., and Soderström T. Adaptive instrumental variable method for robust direction-of-arrival estimation. IEE Proc. Radar Sonar Nav. 142 2 (April 1995) 45-53
    • (1995) IEE Proc. Radar Sonar Nav. , vol.142 , Issue.2 , pp. 45-53
    • Stoica, P.1    Cedervall, M.2    Soderström, T.3
  • 26
    • 0014752546 scopus 로고
    • An instrumental variable method for real-time indentification of noisy process
    • Young P.C. An instrumental variable method for real-time indentification of noisy process. Automatica 6 2 (March 1970) 271-287
    • (1970) Automatica , vol.6 , Issue.2 , pp. 271-287
    • Young, P.C.1
  • 27
    • 0022318160 scopus 로고    scopus 로고
    • B. Friedlander, P. Stoica, T. Soderström, Instrumental variable methods for ARMA parameter estimation, IFAC, Symposium on Identification and System Parameter Estimation, New York, 1985, pp. 29-36.
  • 28
    • 0019584671 scopus 로고
    • An extended Kalman filter for linear discrete time systems with unknown parameters
    • Yoshimura T., Konishi K., and Soeda T. An extended Kalman filter for linear discrete time systems with unknown parameters. Automatica 17 4 (July 1981) 657-660
    • (1981) Automatica , vol.17 , Issue.4 , pp. 657-660
    • Yoshimura, T.1    Konishi, K.2    Soeda, T.3
  • 29
    • 0016924164 scopus 로고
    • The simultaneous on-line estimation of parameters and states in linear systems
    • Nelson L.W., and Stear E. The simultaneous on-line estimation of parameters and states in linear systems. IEEE Trans. Automat. Control 21 2 (February 1976) 94-98
    • (1976) IEEE Trans. Automat. Control , vol.21 , Issue.2 , pp. 94-98
    • Nelson, L.W.1    Stear, E.2
  • 30
    • 33745701626 scopus 로고    scopus 로고
    • E. Todini, Mutually interactive state/parameter estimation (MISP)-application of Kalman filter to hydrology, hydraulics and water resources, Proceedings of AGU Chapman Conference, University of Pittsburg, May 1978.
  • 31
    • 33745729650 scopus 로고    scopus 로고
    • Recursive estimation of system parameter in environmental time series
    • Vichi M., and Optiz O. (Eds), Springer, New York
    • Mantovan P., Pastore A., and Tonellato S. Recursive estimation of system parameter in environmental time series. In: Vichi M., and Optiz O. (Eds). Classification and Data Analysis (1999), Springer, New York 311-318
    • (1999) Classification and Data Analysis , pp. 311-318
    • Mantovan, P.1    Pastore, A.2    Tonellato, S.3
  • 33
    • 33745701627 scopus 로고    scopus 로고
    • G. Doblinger, Smoothing of noisy AR signals using an adaptive Kalman filter, in: Proceedings of the EUSIPCO, vol. 2, Greece, September 1998, pp. 781-784.
  • 34
    • 33745729653 scopus 로고    scopus 로고
    • L. Marple, Digital spectral analysis with applications, Prentice-Hall Signal Processing Series, 1987.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.