On the Reconstruction of Gapped Sinusoidal Data
(2008) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008 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:
https://lup.lub.lu.se/record/1274712
- author
- Gudmundson, Erik ; Jakobsson, Andreas LU and Somasundaram, Samuel
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- damped sinusoidal signals, gapped sinusoidal data, spectral representation, filterbank approach
- host publication
- 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
- conference location
- Las Vegas, NV, United States
- conference dates
- 2008-03-31 - 2008-04-04
- 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
- 2016-04-01 14:50:17
- date last changed
- 2022-01-28 02:47:50
@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}}, keywords = {{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}}, url = {{http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4518409}}, year = {{2008}}, }