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

H. Chen, Sabine Van Huffel, A.J.W. Boom, van den, P.P.J. Bosch, van den

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

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.
Original languageEnglish
Title of host publication1997 13th International Conference on Digital Signal Processing Proceedings, DSP 97, July 2-4, 1997, Santorini, Hellas (Greece)
Place of PublicationPiscataway
PublisherIEEE Sercice Center
Pages1035-1038
Volume2
ISBN (Print)0-7803-4137-6
DOIs
Publication statusPublished - 1997
EventDSP 97, 13th International Conference on Digital Signal Processing, July 2-4, 1997, Santorini, Hellas (Greece) - Conference Centre “PM. NOMIKOS”, Santorini, Greece
Duration: 2 Jul 19974 Jul 1997

Conference

ConferenceDSP 97, 13th International Conference on Digital Signal Processing, July 2-4, 1997, Santorini, Hellas (Greece)
Abbreviated titleDSP 97
CountryGreece
CitySantorini
Period2/07/974/07/97

Fingerprint

Dive into the research topics of 'Extended HTLS methods for parameter estimation of multiple data sets modeled as sums of exponentials'. Together they form a unique fingerprint.

Cite this