DocumentCode
2640445
Title
Improved matrix pencil methods
Author
Lu, Biao ; Wei, Dong ; Evans, Brian L. ; Bovik, Alan C.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume
2
fYear
1998
fDate
1-4 Nov. 1998
Firstpage
1433
Abstract
We study the problem of estimating signal parameters from a noisy data sequence containing superimposed damped sinusoids. We propose three novel methods by combining the reduced-rank Hankel approximation and the matrix pencil method. We demonstrate that two of the proposed methods significantly outperform both the original matrix pencil method and the modified Kumaresan-Tufts (1982) method, especially at low signal-to-noise ratio.
Keywords
Hankel matrices; approximation theory; matrix algebra; noise; parameter estimation; sequences; signal processing; SNR; improved matrix pencil methods; low signal-to-noise ratio; modified Kumaresan-Tufts method; noisy data sequence; reduced-rank Hankel approximation; signal parameter estimation; superimposed damped sinusoids; Background noise; Data engineering; Equations; Frequency estimation; Gaussian noise; Matrix decomposition; Noise reduction; Parameter estimation; Signal processing; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5148-7
Type
conf
DOI
10.1109/ACSSC.1998.751563
Filename
751563
Link To Document