Smooth 2-D frequency estimation using covariance fitting
(2014) 22nd European Signal Processing Conference - EUSIPCO 2014- Abstract
- In this paper, we introduce a non-parametric 2-D spectral estimator for smooth spectra, allowing for irregularly sampled measurements. The estimate is formed by assuming that the spectrum is smooth and will vary slowly over the frequency grids, such that the spectral density inside any given rectangle in the spectral grid may be approximated well as a plane. Using this framework, the 2-D spectrum is estimated by finding the solution to a convex covariance fitting problem, which has an analytic solution.
%solved using the generalized alternating direction method of multipliers.
Numerical simulations indicate the achievable performance gain as compared to the Blackman-Tukey estimator.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4588711
- author
- Swärd, Johan
LU
; Brynolfsson, Johan
LU
; Jakobsson, Andreas
LU
and Sandsten, Maria LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- 2-D frequency estimation, smooth spectrum, irregular sampling.
- host publication
- European Signal Processing Conference
- pages
- 5 pages
- publisher
- EURASIP
- conference name
- 22nd European Signal Processing Conference - EUSIPCO 2014
- conference location
- Lissabon, Portugal
- conference dates
- 2014-09-01 - 2014-09-05
- external identifiers
-
- scopus:84911941530
- ISSN
- 2219-5491
- language
- English
- LU publication?
- yes
- id
- 17e9f259-d728-461e-ba58-b7c2fcdff3d9 (old id 4588711)
- alternative location
- http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925615.pdf
- date added to LUP
- 2016-04-01 13:34:58
- date last changed
- 2022-01-27 19:58:31
@inproceedings{17e9f259-d728-461e-ba58-b7c2fcdff3d9, abstract = {{In this paper, we introduce a non-parametric 2-D spectral estimator for smooth spectra, allowing for irregularly sampled measurements. The estimate is formed by assuming that the spectrum is smooth and will vary slowly over the frequency grids, such that the spectral density inside any given rectangle in the spectral grid may be approximated well as a plane. Using this framework, the 2-D spectrum is estimated by finding the solution to a convex covariance fitting problem, which has an analytic solution.<br/><br> %solved using the generalized alternating direction method of multipliers. <br/><br> Numerical simulations indicate the achievable performance gain as compared to the Blackman-Tukey estimator.}}, author = {{Swärd, Johan and Brynolfsson, Johan and Jakobsson, Andreas and Sandsten, Maria}}, booktitle = {{European Signal Processing Conference}}, issn = {{2219-5491}}, keywords = {{2-D frequency estimation; smooth spectrum; irregular sampling.}}, language = {{eng}}, publisher = {{EURASIP}}, title = {{Smooth 2-D frequency estimation using covariance fitting}}, url = {{https://lup.lub.lu.se/search/files/3460744/4588719.pdf}}, year = {{2014}}, }