title: A new time-domain frequency-selective quantification algorithm.
abstract: In this paper a new time-domain frequency-selective quantification algorithm is presented. Frequency-selective quantification refers to a method that analyzes spectral components in a selected frequency region, ignoring all the other components outside. The algorithm, referred to as MeFreS (Metropolis Frequency-Selective), is based on rank minimization of an opportune Hankel matrix. The minimization procedure is satisfied by the down-hill simplex method, implemented with the simulated annealing method. MeFreS does not use any preprocessing step or filter to suppress nuisance peaks, but the signal model function is directly fitted. In this manner, neither inherent signal distortions nor estimation biases to be corrected occur. The algorithm was tested with Monte Carlo simulations. A comparison with VARPRO and AMARESw algorithms was carried out. Finally, two samples of known content from NMR data were quantified.
authors.affiliation: Istituto Nazionale per la Fisica della Materia, Unità di Napoli, c/o Dipartimento di Scienze Fisiche, Università degli Studi di Napoli Federico II, Complesso Universitario di Monte S. Angelo, via Cinthia, Italy. rocco.romano@na.infn.it
authors.forename: Rocco
authors.initials: R
authors.lastname: Romano
authors.forename: Andrea
authors.initials: A
authors.lastname: Motta
authors.forename: Stefania
authors.initials: S
authors.lastname: Camassa
authors.forename: Claudia
authors.initials: C
authors.lastname: Pagano
authors.forename: Maria Teresa
authors.initials: MT
authors.lastname: Santini
authors.forename: Pietro Luigi
authors.initials: PL
authors.lastname: Indovina
mesh_terms: D000465:Algorithms; D005583:Fourier Analysis; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D009010:Monte Carlo Method