DocumentCode
2030082
Title
Total least squares system identification and frequency estimation for overdetermined model orders
Author
Davila, Carlos E.
Author_Institution
Electr. Eng. Dept., Southern Methodist Univ., Dallas, TX, USA
Volume
4
fYear
1993
fDate
27-30 April 1993
Firstpage
468
Abstract
A method of obtaining accurate parameter and frequency estimates using the total least squares (TLS) method when the model order is overdetermined is described. The proposed method finds the linear combination of the noise subspace eigenvectors which yields the sought-after unknown system parameters. The proposed approach was demonstrated to perform better than the minimum-norm method in a parameter identification and a frequency estimation experiment.<>
Keywords
eigenvalues and eigenfunctions; least squares approximations; parameter estimation; signal processing; frequency estimation; noise subspace eigenvectors; overdetermined model orders; parameter identification; total least squares;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319696
Filename
319696
Link To Document