A multiple window method for estimation of a peaked spectrum
(1995) 1995 International Conference on Acoustics, Speech, and Signal Processing- Abstract
- The paper proposes a new multiple window method for estimating a peaked spectrum. The multiple windows are adapted to the signal, giving a less biased estimate for estimation of peaks than does the Thomson multiple window method. Still the result from estimation of a flat spectrum shows comparable results in variance reduction. The method is based on solution of an eigenvalue problem where the eigenvectors of a special correlation matrix are used as multiple windows. The correlation matrix corresponds to a low frequency dominant spectrum with limited bandwidth. The design results in windows that are further improved by a penalty function to reduce leakage from nearby frequencies. This gives a better estimate when the process contains of... (More)
- The paper proposes a new multiple window method for estimating a peaked spectrum. The multiple windows are adapted to the signal, giving a less biased estimate for estimation of peaks than does the Thomson multiple window method. Still the result from estimation of a flat spectrum shows comparable results in variance reduction. The method is based on solution of an eigenvalue problem where the eigenvectors of a special correlation matrix are used as multiple windows. The correlation matrix corresponds to a low frequency dominant spectrum with limited bandwidth. The design results in windows that are further improved by a penalty function to reduce leakage from nearby frequencies. This gives a better estimate when the process contains of large spectrum dynamics. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/38cb8d04-4223-43d9-9f70-0651e6d1a17f
- author
- Sandsten, Maria LU ; Gänsler, Tomas and Salomonsson, Göran
- organization
- publishing date
- 1995
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 1995 International conference on acoustics, speech and signal processing (ICASSP)
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 1995 International Conference on Acoustics, Speech, and Signal Processing
- conference location
- Detroit, United States
- conference dates
- 1995-05-09 - 1995-05-12
- external identifiers
-
- scopus:0028996339
- ISBN
- 0-7803-2431-5
- DOI
- 10.1109/ICASSP.1995.479874
- language
- English
- LU publication?
- yes
- id
- 38cb8d04-4223-43d9-9f70-0651e6d1a17f
- date added to LUP
- 2018-03-23 16:16:21
- date last changed
- 2021-01-03 04:59:57
@inproceedings{38cb8d04-4223-43d9-9f70-0651e6d1a17f, abstract = {{The paper proposes a new multiple window method for estimating a peaked spectrum. The multiple windows are adapted to the signal, giving a less biased estimate for estimation of peaks than does the Thomson multiple window method. Still the result from estimation of a flat spectrum shows comparable results in variance reduction. The method is based on solution of an eigenvalue problem where the eigenvectors of a special correlation matrix are used as multiple windows. The correlation matrix corresponds to a low frequency dominant spectrum with limited bandwidth. The design results in windows that are further improved by a penalty function to reduce leakage from nearby frequencies. This gives a better estimate when the process contains of large spectrum dynamics.}}, author = {{Sandsten, Maria and Gänsler, Tomas and Salomonsson, Göran}}, booktitle = {{1995 International conference on acoustics, speech and signal processing (ICASSP)}}, isbn = {{0-7803-2431-5}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{A multiple window method for estimation of a peaked spectrum}}, url = {{http://dx.doi.org/10.1109/ICASSP.1995.479874}}, doi = {{10.1109/ICASSP.1995.479874}}, year = {{1995}}, }