Subspace-based parameter estimation of exponentially damped sinusoids using prior knowledge of frequency and phase

Signal Processing

Volumn 59, Issue 1, 1997, Pages 129-136

  Chen, Hua ^a   Van Huffel, Sabine ^b   Van Den Boom, Ad ^a   Van Den Bosch, Paul ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Katholieke Universiteit Leuven   (Belgium)

Author keywords

Exponential; Parameter estimation; Prior knowledge; Sinusoid; Subspace; SVD

Indexed keywords

DAMPING; FUNCTIONS; MATHEMATICAL MODELS; PARAMETER ESTIMATION;

SINGULAR VALUE DECOMPOSITION (SVD);

SIGNAL PROCESSING;

EID: 0031141254     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0165-1684(97)00085-6     Document Type: Article

References (6)

1. C.H. Bischof, P.C. Hansen, A block algorithm for computing rank-revealing QR factorizations, Numerical Algorithms 2 (1992) 371-392.
2. H. Chen, S. Van Huffel, D. van Ormondt, R. de Beer, Parameter estimation with prior knowledge of known signal poles for the quantification of NMR data in the time domain, J. Magn. Reson. Ser. A 119 (1996) 225-234.
3. H. Chen, S. Van Huffel, J. Vandewalle, Improved methods for exponential parameter estimation in the presence of known poles and noise, IEEE Trans. Signal Process. 45 (5) (May 1997) to appear.
4. S.Y. Kung, K.S. Arun, D.V. Bhaskar Rao, State-space and SVD-based approximation methods for the harmonic retrieval problem, J. Opt. Soc. Amer. 73 (12) (1983) 1799-1811.
5. S. Van Huffel, Enhanced resolution based on minimum variance estimation and exponential data modeling, Signal Processing 33 (3) (1993) 333-355.
6. S. Van Huffel, H. Chen, C. Decanniere, P. Van Hecke, Algorithm for time-domain NMR data fitting based on total least squares, J. Magn. Reson. Ser. A 110 (1994) 228-237.