By Topic

State-space based approximation methods for the harmonic retrieval problem in the presence of known signal poles

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hua Chen ; Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium ; Van Huffel, S. ; Vandewalle, Joos

In parameter estimation of closely-spaced sinusoids, prior knowledge of some known signal poles can be incorporated as done in the LCTLS-LP algorithm proposed by Dowling et al. (1992, 1994) and based on forward linear prediction and total least squares. In this paper, two better algorithms, HTLS-PK and HTLN-PK, derived respectively from Kung et al.'s (1983) state-space method using the TLS principle and the newly developed structured total least norm technique are presented that incorporate the same prior knowledge but clearly outperform the LCTLS-LP method in both resolution and parameter accuracy

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:5 )

Date of Conference:

7-10 May 1996