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On the Reconstruction of Gapped Sinusoidal Data

Gudmundson, Erik; Jakobsson, Andreas LU and Somasundaram, Samuel (2008) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008 In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing p.3513-3516
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.
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
damped sinusoidal signals, gapped sinusoidal data, spectral representation, filterbank approach
in
2008 IEEE International Conference on Acoustics, Speech and Signal Processing
pages
3513 - 3516
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008
external identifiers
  • scopus:51449105534
ISSN
1520-6149
language
English
LU publication?
no
id
84535838-6408-4b87-aef0-673683916bc4 (old id 1274712)
alternative location
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4518409
date added to LUP
2009-05-25 12:17:38
date last changed
2017-06-04 04:11:09
@inproceedings{84535838-6408-4b87-aef0-673683916bc4,
  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.},
  author       = {Gudmundson, Erik and Jakobsson, Andreas and Somasundaram, Samuel},
  booktitle    = {2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  issn         = {1520-6149},
  keyword      = {damped sinusoidal signals,gapped sinusoidal data,spectral representation,filterbank approach},
  language     = {eng},
  pages        = {3513--3516},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {On the Reconstruction of Gapped Sinusoidal Data},
  year         = {2008},
}