Extended HTLS methods for parameter estimation of multiple data sets modeled as sums of exponentials

Author

Hua Chen ; Van Huffel, Sabine ; van den Boom, A. ; van den Bosch, P.

Author_Institution

Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands

Volume

2

fYear

1997

fDate

2-4 Jul 1997

Firstpage

1035

Abstract

In subspace-based parameter estimation of a single signal modeled as a sum of exponentially damped sinusoids, a variant of Kung´s method, called HTLS in nuclear magnetic resonance spectroscopy, achieves best resolution and accuracy. When more than one signal is to be quantified, the HTLS method can be extended in several ways. This paper presents several extended HTLS methods quantifying multiple signals and compares these methods in different scenarios by means of a simulation study to find out which and when is best suited

Keywords

NMR spectroscopy; parameter estimation; signal processing; Kung´s method; exponentially damped sinusoid; extended HTLS methods; multiple data sets; multiple signals; nuclear magnetic resonance spectroscopy; simulation; single signal; subspace-based parameter estimation; sums of exponentials; Data engineering; Laboratories; Least squares approximation; Magnetic noise; Matrix decomposition; Noise measurement; Nuclear magnetic resonance; Parameter estimation; Signal resolution; Spectroscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628541

Filename

628541