Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy.
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.
Gudmundson
Erik
E
Department of Information Technology, Uppsala University, PO Box 337, SE-751 05 Uppsala, Sweden. erik.gudmundson@it.uu.se
Stoica
Petre
P
Li
Jian
J
Jakobsson
Andreas
A
Rowe
Michael D
MD
Smith
John A S
JA
Ling
Jun
J
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
D053834:Explosive Agents; D005308:Fertilizers; D009566:Nitrates; C006568:ammonium nitrate