Spectral Estimation of Damped Sinusoids in the Case of Irregularly Sampled Data

• The problem of estimating a spectral representation of damped sinusoidal signals from a gapped data set is of considerable interest in several applications. In this paper, we propose a new iterative adaptive approach, named dIAA, that provides such an estimate also in the case of irregularly sampled data, a common scenario in, for instance, spectroscopical data measurements. Numerical examples illustrate the benefits of the proposed estimator as compared to typically used methods.

Ämnesord

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

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

Nyckelord

Adaptive approach

Damped sinusoids

Data measurements

Data sets

Numerical example

Sampled data

Sinusoidal signals

Spectral Estimation

Spectral representations

Numerical methods

Spectrum analysis

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