TY - GEN
T1 - Efficient parameter estimation of multiple damped sinusoids by combining subspace and weighted least squares techniques
AU - Sun, Weize
AU - So, H. C.
PY - 2012
Y1 - 2012
N2 - A new signal subspace approach for sinusoidal parameter estimation of multiple tones is proposed in this paper. Our main ideas are to arrange the observed data into a matrix without reuse of elements and exploit the principal singular vectors of this matrix for parameter estimation. Comparing with the conventional subspace methods which employ Hankel-style matrices with redundant entries, the proposed approach is more computationally efficient. Computer simulations are also included to compare the proposed methodology with the weighted least squares and ESPRIT approaches in terms of estimation accuracy and computational complexity. © 2012 IEEE.
AB - A new signal subspace approach for sinusoidal parameter estimation of multiple tones is proposed in this paper. Our main ideas are to arrange the observed data into a matrix without reuse of elements and exploit the principal singular vectors of this matrix for parameter estimation. Comparing with the conventional subspace methods which employ Hankel-style matrices with redundant entries, the proposed approach is more computationally efficient. Computer simulations are also included to compare the proposed methodology with the weighted least squares and ESPRIT approaches in terms of estimation accuracy and computational complexity. © 2012 IEEE.
KW - frequency estimation
KW - linear prediction
KW - singular value decomposition
KW - subspace method
KW - weighted least squares
UR - https://www.scopus.com/pages/publications/84867605475
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84867605475&origin=recordpage
U2 - 10.1109/ICASSP.2012.6288673
DO - 10.1109/ICASSP.2012.6288673
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781467300469
SP - 3509
EP - 3512
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Y2 - 25 March 2012 through 30 March 2012
ER -