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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)

NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Nyckelord

Missing data

Spectral estimation

Nonparametric spectral estimation

Irregularly sampled data

Spectroscopic techniques

TECHNOLOGY

TEKNIKVETENSKAP

Automatic Control

Reglerteknik

Spectroscopic techniques

Irregularly sampled data

Nonparametric spectral estimation

Missing data

Spectral estimation

Publikations- och innehållstyp

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