title: Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy.
abstract: The problem of estimating the spectral content of exponentially decaying signals from a set of irregularly sampled data is of considerable interest in several applications, for example in various forms of radio frequency spectroscopy. In this paper, we propose a new nonparametric iterative adaptive approach that provides a solution to this estimation problem. As opposed to commonly used methods in the field, the damping coefficient, or linewidth, is explicitly modeled, which allows for an improved estimation performance. Numerical examples using both simulated data and data from NQR experiments illustrate the benefits of the proposed estimator as compared to currently available nonparametric methods.
authors.affiliation: Department of Information Technology, Uppsala University, PO Box 337, SE-751 05 Uppsala, Sweden. erik.gudmundson@it.uu.se
authors.forename: Erik
authors.initials: E
authors.lastname: Gudmundson
authors.forename: Petre
authors.initials: P
authors.lastname: Stoica
authors.forename: Jian
authors.initials: J
authors.lastname: Li
authors.forename: Andreas
authors.initials: A
authors.lastname: Jakobsson
authors.forename: Michael D
authors.initials: MD
authors.lastname: Rowe
authors.forename: John A S
authors.initials: JA
authors.lastname: Smith
authors.forename: Jun
authors.initials: J
authors.lastname: Ling
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D053834:Explosive Agents / Q000737:chemistry; D005308:Fertilizers; D009682:Magnetic Resonance Spectroscopy / Q000706:statistics & numerical data*; D009010:Monte Carlo Method; D009566:Nitrates / Q000737:chemistry; D011846:Radio Waves; D013269:Stochastic Processes
chemical_list: D053834:Explosive Agents; D005308:Fertilizers; D009566:Nitrates; C006568:ammonium nitrate