On robust Kalman filtering with forgetting factor for sequential speech analysis

Signal Processing

Volumn 63, Issue 2, 1997, Pages 151-156

  Yang, Taewon ^a   Lee, JooHun ^c   Lee, Ki Yong ^b   Sung, Koeng Mo ^a  

^a Seoul National University   (South Korea)

^b Soongsil University   (South Korea)

^c NONE

Author keywords

Forgetting factor; M estimation; Modified least squares criterion; Robust Kalman filter; Time varying parameter

Indexed keywords

ALGORITHMS; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION; SPEECH ANALYSIS;

FORGETTING FACTORS;

KALMAN FILTERING;

EID: 0031374477     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0165-1684(97)00150-3     Document Type: Article

References (8)

1. J.D. Gibson, J.L. Melsa, S.K. Jones, Digital speech analysis using sequential estimation techniques, IEEE Trans. Acoust. Speech Signal Process. ASSP-23 (1975) 362-369.
2. P.W. Holland, R.E. Welsh, Robust regression using iteratively reweighted least-squares, Commun. Statist. Theor. Math. A 6 (9) (1977) 813-827.
3. P.J. Huber, Robust Statistics, Wiley, New York, 1981.
4. M. Veinović, B. Kovačević, M. Milosavljević, Robust non-recursive AR speech analysis, Signal Processing 37 (1994) 189-201.
5. C.H. Lee, On robust linear prediction of speech, IEEE Trans. Acoust. Speech Signal Process. ASSP-36 (1988) 642-650.
6. G.A. Mack, V.K. Jain, Speech parameter estimation by time-weighted error Kalman filtering, IEEE Trans. Acoust. Speech Signal Process. ASSP-31 (1983) 1300-1303.
7. C.J. Masreliez, Approximate non-Gaussian filtering with linear state and observation relations, IEEE Trans. Automat. Control AC-20 (1975) 107-111.
8. A.P. Sage, J.L. Melsa, Estimation Theory with Applications to Communications and Control, McGraw-Hill, New York, 1971.