Use of autocorrelation-like function to improve the performance of linear-prediction parameter estimators

M. Fedrigo, Gennaro Esposito, S. Cattarinussi, P. Viglino, F. Fogolari

Research output: Contribution to journalArticle

Abstract

In this work, a novel approach to the usage of an autocorrelation function in order to improve signal-to-noise ratio (SNR) is presented. This method avoids the usual problems entailed by standard autocorrelation function-based approaches to nonstationary signals such as NMR signals. The Cadzow autocorrelation matrix approach to transient data is often not suitable for time-domain signal analysis; in fact, it does not maintain the Hankel structure of the prediction matrix, which is mandatory for many linear-prediction (LP) applications. The approach presented here conserves the Hankel structure of the prediction matrix and, moreover, does not change the frequency and linewidth parameters of the signal components. Furthermore, the proposed autocorrelation-like function permits a weighting of the individual components according to their T2 decay constant. This property opens new possibilities for retrieving signal parameters by LP procedures. These new procedures are applied to simulated 2D signals and ID NMR measurements of phosphorus metabolites in frog mUSCle. C 16 Academic Press, Inc.

Original languageEnglish (US)
Pages (from-to)97-107
Number of pages11
JournalJournal of Magnetic Resonance - Series A
Volume121
Issue number2
DOIs
StatePublished - Jan 1 1996

Fingerprint

linear prediction
Autocorrelation
estimators
autocorrelation
Nuclear magnetic resonance
Signal-To-Noise Ratio
Anura
matrices
Phosphorus
Signal analysis
frogs
Metabolites
nuclear magnetic resonance
Linewidth
signal analysis
metabolites
Muscle
Muscles
Signal to noise ratio
muscles

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Use of autocorrelation-like function to improve the performance of linear-prediction parameter estimators. / Fedrigo, M.; Esposito, Gennaro; Cattarinussi, S.; Viglino, P.; Fogolari, F.

In: Journal of Magnetic Resonance - Series A, Vol. 121, No. 2, 01.01.1996, p. 97-107.

Research output: Contribution to journalArticle

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