Improved signal enhancement procedures applied to exponential data modeling

Author

Dologlou, I. ; Van Huffel, S. ; Van Ormondt, D.

Author_Institution

ESAT, Katholieke Univ., Leuven, Heverlee, Belgium

Volume

45

Issue

3

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

799

Lastpage

803

Abstract

Various signal enhancement techniques have been proposed to improve spectral estimation of closely spaced sinusoids in the presence of noise. This correspondence exploits the filtering interpretation of some well-known SVD-based iterative algorithms for signal enhancement to further improve their performance. It is shown that the initial conditions that are used throughout the filtering process may considerably affect the spectral characteristics of the signal. A strategy is proposed to minimize these undesirable effects. The new method improves the performance of fully automated magnetic resonance spectroscopy (MRS) quantitation

Keywords

Hankel matrices; NMR spectroscopy; exponential distribution; filtering theory; iterative methods; noise; parameter estimation; singular value decomposition; spectral analysis; SVD-based iterative algorithms; closely spaced sinusoids; exponential data modeling; filtering interpretation; magnetic resonance spectroscopy quantitation; noise; signal enhancement; spectral characteristics; spectral estimation; Convergence; Filtering; Finite impulse response filter; IIR filters; Iterative algorithms; Iterative methods; Laboratories; Magnetic resonance; Magnetic separation; Signal processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.558510

Filename

558510