Optimization of Weighting Factors for Multiple Window Time-Frequency Analysis
(2009) 17th European Signal Processing Conference, 2009 p.2283-2287- Abstract
- This paper concerns the optimal weighting factors for multiple
window spectrogram estimation of different stationary
and non-stationary processes. The choice of windows are of
course important but the weighting factors in the average of
the different spectrograms are as important. The criterion for
optimization is the normalized mean square error where the
normalization factor is the spectrogramestimate. This means
that the unknown weighting factors will be present in the numerator
as well as in the denominator. A quasi-Newton algorithm
is used for the estimation. The optimization is compared
for a number of well known sets of multiple... (More) - This paper concerns the optimal weighting factors for multiple
window spectrogram estimation of different stationary
and non-stationary processes. The choice of windows are of
course important but the weighting factors in the average of
the different spectrograms are as important. The criterion for
optimization is the normalized mean square error where the
normalization factor is the spectrogramestimate. This means
that the unknown weighting factors will be present in the numerator
as well as in the denominator. A quasi-Newton algorithm
is used for the estimation. The optimization is compared
for a number of well known sets of multiple windows
and the results show that the number as well as the shape of
the windows are important factors for a small mean square
error. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1515155
- author
- Sandsten, Maria LU and Sandberg, Johan LU
- organization
- publishing date
- 2009
- type
- Contribution to conference
- publication status
- published
- subject
- pages
- 2283 - 2287
- conference name
- 17th European Signal Processing Conference, 2009
- conference location
- Glasgow, Scotland, United Kingdom
- conference dates
- 2009-08-24 - 2009-08-28
- external identifiers
-
- scopus:84863757263
- language
- English
- LU publication?
- yes
- id
- 7fe3d974-51b0-453b-b5b8-7feea367c53f (old id 1515155)
- alternative location
- http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569188810.pdf
- date added to LUP
- 2016-04-04 14:17:09
- date last changed
- 2022-01-30 01:44:55
@misc{7fe3d974-51b0-453b-b5b8-7feea367c53f,
abstract = {{This paper concerns the optimal weighting factors for multiple<br/><br>
window spectrogram estimation of different stationary<br/><br>
and non-stationary processes. The choice of windows are of<br/><br>
course important but the weighting factors in the average of<br/><br>
the different spectrograms are as important. The criterion for<br/><br>
optimization is the normalized mean square error where the<br/><br>
normalization factor is the spectrogramestimate. This means<br/><br>
that the unknown weighting factors will be present in the numerator<br/><br>
as well as in the denominator. A quasi-Newton algorithm<br/><br>
is used for the estimation. The optimization is compared<br/><br>
for a number of well known sets of multiple windows<br/><br>
and the results show that the number as well as the shape of<br/><br>
the windows are important factors for a small mean square<br/><br>
error.}},
author = {{Sandsten, Maria and Sandberg, Johan}},
language = {{eng}},
pages = {{2283--2287}},
title = {{Optimization of Weighting Factors for Multiple Window Time-Frequency Analysis}},
url = {{http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569188810.pdf}},
year = {{2009}},
}