Fast algorithms for exponential data modeling

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

Volumn 4, Issue , 1994, Pages IV25-IV28

  Park, Haesun ^a   van Huffel, Sabine ^b   Eldén, Lars ^c  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING;

EXPONENTIALLY DAMPED SINUSOIDS; FAST ALGORITHMS; LINEAR PREDICTION; NUCLEAR MAGNETIC RESONANCE(NMR); STATE SPACE-BASED METHODS;

NUCLEAR MAGNETIC RESONANCE;

EID: 84904580360     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1994.389885     Document Type: Conference Paper

References (13)

1. R. De Beer and D. Van Ormondt, Analysis of NMR data using time-domain fitting procedures, in M. Rudin, guest ed., In-vivo Magnetic Resonance Spectroscopy I: Probeheads, Radiofrequency Pulses, Spectrum Analysis, NMR Basic Principles and Progress series 26, Springer-Vetlag, Berlin Heidelberg, 1992, pp. 201-248.
2. R. Kumaresan and D.W. Tufts, Estimating the parameters of exponentially damped sinusoids and pole-zero modeling in noise, IEEE Trans, on Acoust., Speech, and Sign. Proc. ASSP-30, 1982, pp. 833-840.
3. H. Barkhuijsen, R. De Beer and D. Van Ormondt, Improved algorithm for noniterative time-domain model fitting to exponentially damped magnetic resonance signals, J. Magnetic Resonance 73, 1987, pp. 553-557.
4. S.Y. Kung, K.S. Arun and D.V. Bhaskar Rao, State-space and singular value decomposition-based approximation methods for the harmonic retrieval problem, J. Opt. Soc. Am. 73, 1983, pp. 1799-1811.
5. S. Van Huffel, L. Aerts, J. Bervoets, J. Vandewalle, C. Decanniere and P. Van Heclce, Improved quantitative time-domain analysis of NMR data by total least squares, In J. Vandewalle, R. Boite, M. Moonen and A. Oosterlinck, eds., Signal Processing VI: theories and applications, Elsevier Science Publishers B.V. (North-Holland), 1992, Vol. III, pp. 1721-1724.
6. A. Bojanczyk, R. Brent, and F. de Hoog, QR factorization of Toeplitz matrices, Numer. Math. 49, 1986, pp. 81-94.
7. J. Chun, T. Kailath, and H. Lev-Ari, Fast parallel algorithms for QR and triangular factorization, SIAM J. Sci. Stat. Comput. 8, 1987, pp. 899-913.
8. H. Park and L. Elden, Fast and accurate triangularization of Toeplitz matrices, Preprint 93-038, AHPCRC, Univ. of Minnesota, 1993.
9. G.H. Golub and C.F. Van Loan, Matrix Computations, 2nd ed., The Johns Hopkins University Press, Baltimore, Maryland, 1989.
10. G.W. Stewart. An updating algorithm for subspace tracking, IEEE Trans. Signal Proc. 40(1992), 1535-1541.
11. R.D. Fierro and P.C. Hansen, Low rank revealing two-sided orthogonal decomposition algorithms, in preparation.
12. C. Decanniere, P. Van Hecke, F. Vanstapel, H. Ville and R. Geers, Metabolic response to halothane in piglets susceptible to malignant hyperthermia: an in vivo "P-NMR study, J. Appl. Physiol. 75 (3) (1993) (in press).
13. J. Led and H. Gesmar, Application of the linear prediction method to NMR spectroscopy, Chem. Rev. 91, 1991, pp. 1413-1426.