DocumentCode
290506
Title
Fast algorithms for exponential data modeling
Author
Park, Haesun ; Van Huffel, Sabine ; Eldén, Lors
Author_Institution
Dept. of Comput. Sci., Minnesota Univ., Minneapolis, MN, USA
Volume
iv
fYear
1994
fDate
19-22 Apr 1994
Abstract
A new fast algorithm is presented for quantifying signals modeled by a sum of exponentially damped sinusoids. The new algorithm is applied to the quantitative analysis of Nuclear Magnetic Resonance (NMR) data and is shown to be up to an order of magnitude more efficient than currently used linear prediction and state-space based methods
Keywords
Hankel matrices; biomedical NMR; exponential distribution; matrix decomposition; medical image processing; parameter estimation; Hankel structure; NMR data; exponential data modeling; exponentially damped sinusoids; fast algorithms; linear prediction; state-space based methods; Algorithm design and analysis; Computer science; Frequency estimation; Laboratories; Least squares methods; Magnetic analysis; Mathematics; Matrix decomposition; Nuclear magnetic resonance; Parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location
Adelaide, SA
ISSN
1520-6149
Print_ISBN
0-7803-1775-0
Type
conf
DOI
10.1109/ICASSP.1994.389885
Filename
389885
Link To Document