Optimized Weighted Averaging of Peak Matched Multiple Window Spectrum Estimates
(1999) In IEEE Transactions on Signal Processing 47(4). p.1141-1146- Abstract
- Periodogram averaging with multiple windows can be used in spectrum analysis of nonstationary data. Usually, however, the windows for the subspectra are equally weighted in the estimate. In this correspondence, a criterion for the optimization of weighting factors is formulated as the average of normalized bias, variance, or mean square error in a certain frequency interval around a predefined peaked spectrum. The weighting factors are optimized using the peak matched multiple windows, the sinusoid multiple windows, and the discrete prolate spheroidal sequences.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e6a18ff3-2a83-4e9e-8dbd-8fec025345d1
- author
- Sandsten, Maria LU
- organization
- publishing date
- 1999
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- multiple windows, peaked spectrum, spectrum analysis
- in
- IEEE Transactions on Signal Processing
- volume
- 47
- issue
- 4
- pages
- 1141 - 1146
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:0033115860
- ISSN
- 1053-587X
- DOI
- 10.1109/78.752613
- language
- English
- LU publication?
- yes
- id
- e6a18ff3-2a83-4e9e-8dbd-8fec025345d1
- date added to LUP
- 2018-03-23 15:38:38
- date last changed
- 2022-04-25 06:26:52
@article{e6a18ff3-2a83-4e9e-8dbd-8fec025345d1, abstract = {{Periodogram averaging with multiple windows can be used in spectrum analysis of nonstationary data. Usually, however, the windows for the subspectra are equally weighted in the estimate. In this correspondence, a criterion for the optimization of weighting factors is formulated as the average of normalized bias, variance, or mean square error in a certain frequency interval around a predefined peaked spectrum. The weighting factors are optimized using the peak matched multiple windows, the sinusoid multiple windows, and the discrete prolate spheroidal sequences.}}, author = {{Sandsten, Maria}}, issn = {{1053-587X}}, keywords = {{multiple windows; peaked spectrum; spectrum analysis}}, language = {{eng}}, number = {{4}}, pages = {{1141--1146}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Signal Processing}}, title = {{Optimized Weighted Averaging of Peak Matched Multiple Window Spectrum Estimates}}, url = {{http://dx.doi.org/10.1109/78.752613}}, doi = {{10.1109/78.752613}}, volume = {{47}}, year = {{1999}}, }