Optimization of weighting factors in the peak matched multiple window method
(1997) 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing- Abstract
- Peak matched multiple windows are found as the Karhunen-Loeve basis functions of a predefined peaked spectrum. With a penalty function, an optimization procedure can be constrained with resulting control of sidelobes. Weighting factors, included in the averaging of the periodograms, can be designed to fulfill certain constraints. Desirable properties are low variance and small bias. This paper presents a discussion of minimization of variance at the peak compared with the optimization that also include the neighbourhood of the peak.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/98ef26fc-d8ec-49c3-bacd-0df423de5fcf
- author
- Sandsten, Maria LU
- organization
- publishing date
- 1997
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing
- conference location
- Munich, Germany
- conference dates
- 1997-04-21 - 1997-04-24
- external identifiers
-
- scopus:0030702237
- ISBN
- 0-8186-7919-0
- DOI
- 10.1109/ICASSP.1997.604795
- language
- English
- LU publication?
- yes
- id
- 98ef26fc-d8ec-49c3-bacd-0df423de5fcf
- date added to LUP
- 2018-03-23 16:14:16
- date last changed
- 2022-01-31 02:30:21
@inproceedings{98ef26fc-d8ec-49c3-bacd-0df423de5fcf, abstract = {{Peak matched multiple windows are found as the Karhunen-Loeve basis functions of a predefined peaked spectrum. With a penalty function, an optimization procedure can be constrained with resulting control of sidelobes. Weighting factors, included in the averaging of the periodograms, can be designed to fulfill certain constraints. Desirable properties are low variance and small bias. This paper presents a discussion of minimization of variance at the peak compared with the optimization that also include the neighbourhood of the peak.}}, author = {{Sandsten, Maria}}, booktitle = {{1997 IEEE International Conference on Acoustics, Speech, and Signal Processing}}, isbn = {{0-8186-7919-0}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Optimization of weighting factors in the peak matched multiple window method}}, url = {{http://dx.doi.org/10.1109/ICASSP.1997.604795}}, doi = {{10.1109/ICASSP.1997.604795}}, year = {{1997}}, }