On the Reconstruction of Gapped Sinusoidal Data

Erik Gudmundson, Andreas Jakobsson, Samuel Somasundaram

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

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 filterbank approach to provide such an estimate, by first reconstructing the missing data samples assuming that the spectral content of the missing data is similar to that of the available samples, and then forming a spectral representation of the reconstructed data set as a function of frequency and damping. Numerical examples illustrate the benefits of the proposed estimator as compared to currently available methods.
Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages3513-3516
Publication statusPublished - 2008
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech, and Signal Processing, 2008 - Las Vegas, Nevada, USA., Las Vegas, NV, United States
Duration: 2008 Mar 312008 Apr 4

Publication series

Name
ISSN (Print)1520-6149

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing, 2008
Abbreviated titleICASSP 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period2008/03/312008/04/04

Subject classification (UKÄ)

  • Probability Theory and Statistics

Free keywords

  • damped sinusoidal signals
  • gapped sinusoidal data
  • spectral representation
  • filterbank approach

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