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Optimal Wigner Cross-Spectrum Estimation

Sandberg, Johan LU and Sandsten, Maria LU (2009) 17th European Signal Processing Conference, 2009 In EUSIPCO Proceedings p.2298-2302
Abstract
An expression for the mean-square error (MSE) optimal

Wigner cross-spectrum estimator is derived within a wide

class of estimators. Using this expression and a simplemodel

we are able to construct a new estimator which turns out to be

superior compared to standard estimators such as Thomson

multitapers and Welch method on simulated data.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
EUSIPCO Proceedings
pages
2298 - 2302
conference name
17th European Signal Processing Conference, 2009
external identifiers
  • Scopus:84863734926
language
English
LU publication?
yes
id
742ae04f-b7cc-4f9b-8877-6ce3a409de42 (old id 1515156)
alternative location
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569192488.pdf
date added to LUP
2010-01-11 11:47:31
date last changed
2016-10-13 05:00:01
@misc{742ae04f-b7cc-4f9b-8877-6ce3a409de42,
  abstract     = {An expression for the mean-square error (MSE) optimal<br/><br>
Wigner cross-spectrum estimator is derived within a wide<br/><br>
class of estimators. Using this expression and a simplemodel<br/><br>
we are able to construct a new estimator which turns out to be<br/><br>
superior compared to standard estimators such as Thomson<br/><br>
multitapers and Welch method on simulated data.},
  author       = {Sandberg, Johan and Sandsten, Maria},
  language     = {eng},
  pages        = {2298--2302},
  series       = {EUSIPCO Proceedings},
  title        = {Optimal Wigner Cross-Spectrum Estimation},
  year         = {2009},
}