On the Total Least Squares Linear Prediction Method for Frequency Estimation

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 38, Issue 12, 1990, Pages 2186-2189

  Hua, Yingbo ^a   Sarkar, Tapan K ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b SYRACUSE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL FILTERING AND PREDICTION;

TOTAL LEAST SQUARES (TLS) METHOD;

MATHEMATICAL TECHNIQUES;

EID: 0025598794     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/29.61547     Document Type: Article

References (15)

1. M. A. Rahman and K.-B. Yu, “Total least squares approach for frequency estimation using linear prediction,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, no. 10, pp. 1440–1454, Oct. 1987.
2. R. Kumaresan, L. L. Scharf, and A. K. Shaw, “An algorithm for pole-zero modeling and spectral analysis,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, no. 3, pp. 637–640, June 1986.
3. Y. Bresler and A. Macovski, “Exact maximum likelihood parameter estimation of superimposed exponential signals in noise.” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, no. 5, pp. pp. 1081–1089, Oct. 1986.
4. A. J. Evans and R. Fischl, “Optimal least squares time-domain synthesis or recursive digital filters,” IEEE Trans. Audio Electroacoust., vol. AU-21, pp. 61–65, Feb. 1973.
5. J. I. Makhoul, “Linear prediction: A tutorial review,” Proc. IEEE, vol. 63, pp. 561–580, Apr. 1975.
6. D. W. Tufts and R. Kumaresan, “Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood,” Proc. IEEE, vol. 70, pp. 975–989, Sept. 1982.
7. Y. Hua and T. K. Sarkar, “Perturbation analysis of TK method for harmonic retrieval problems,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-36, no. 2. pp. 228–240, Feb. 1988.
8. R. Kumaresan and D. W. Tufts, “Estimating the parameters of exponentially damped sinusoids and pole-zero modeling in noise,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-30, pp. 833–840, Dec. 1982.
9. —, “Estimating the angles of arrival of multiple plane waves,” IEEE Trans. Aerosp. Electron. Syst., vol. AES-19, no. 1, pp. 134–139,Jan. 1983.
10. R. Kumaresan, “Estimating the parameters of exponentially damped/ undamped sinusoidal signals in noise,” Ph.D. dissertation, Univ. Rhode Island, Kingston, RI, Aug. 1982.
11. G. H. Golub and C. Van Loan, Matrix Computation. Baltimore, MD: Johns Hopkins, 1983.
12. M. Zoltowski, “Novel techniques for estimation of array signal parameters based on matrix pencil, subspace rotation, and total least squares,” in Proc. IEEE ICASSP-88 (New York), Apr. 1988.
13. R. Roy and T. Kailath, “Total least squares ESPRIT,” presented at the Asilomar Conf., Pacific Grove, CA, Nov. 1987.
14. Y. Hua and T. K. Sarkar, “On SVD for estimating the generalized eigenvalues of singular matrix pencils in noise,” IEEE Trans. Acoust., Speech, Signal Processing, submitted for publication.
15. S. M. Kay, Modern Spectral Estimation. Englewood Cliffs, NJ: Prentice-Hall, 1988.