Total least squares with linear constraints

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 1992, Pages 341-344

  Linebarger, Darel A ^a   Dowling, Eric M ^a   Degroat, Ronald D ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SIGNAL PROCESSING; FREQUENCY ESTIMATION; SPEECH COMMUNICATION;

CLOSED-FORM EXPRESSION; FREQUENCY COMPONENTS; LINEAR CONSTRAINTS; LINEAR EQUALITY CONSTRAINTS; TOTAL LEAST SQUARES; TOTAL LEAST SQUARES PROBLEMS;

SIGNAL PROCESSING;

EID: 84978503629     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1992.226613     Document Type: Conference Paper

References (9)

1. G.H. Golub and C.F. Van Loan. An analysis of the total least squares problem. SIAM J. Numer. Anal., 17(6):883-893, Dec. 1980.
2. R. Kumaresan and D.W. Tufts. Accurate estimation of speech-like signals. In Proceedings ICASSP, 1982.
3. M.A. Rahman and K. Yu. Total least squares approach for frequency estimation using linear prediction. IEEE Trans. ASSP, ASSP-34(10):1440-1354, Oct 1987.
4. R. Roy and T. Kailath. Esprit-estimation of signal parameters via rotational invariance techniques. IEEE Trans. ASSP, ASSP-37:984-995, July 1989.
5. E.M. Dowling and R.D. DeGroat. The equivalence of total least squares and minimum norm methods. IEEE Trans. Sig. Proc. ASSP 39(8): 1891-1892, Aug. 1991.
6. R. Kumaresan and D.W. Tufts. Estimating the angles of arrival of multiple plane waves. IEEE Trans. Aeorsp. and Electron. Syst., AES-19:134-139, Jan. 1982.
7. J.W. Demmel. The smallest perturbation of a sub matrix which lowers the rank and constrained total least squares problems. SIAM J. Numer. Anal., 24(1), Feb. 1987.
8. TJ. Abatzoglou, J.M. Mendel, and Gail A. Harada. The constrained total least squares technique and its application to harmonic superresolution. IEEE Trans. SP ASSP-39:1070-1087, May 1991.
9. S. Van Huffel and H. Zha. The restricted total least squares problem: formulation, algorithm, and properties. SIAM Journal on Matrix Anal, and App., 12(2):292-309, Apr. 1991.