Spectral estimation with a non-parametric multiple-window method
(1993) 15th International Conference on IEEE Engineering in Medicine and Biology Society p.326-327- Abstract
- The spectral characters of the electroencephalogram activity (EEG) is of interest both in studies of the EEG and in estimation oI Evoked Potentials. Often parametric methods assume an underlying model like AR or ARMA [1]. To avoid the model assumption a non-parametric multiple-window meihod for spectral estimation is used in this paper. The method uses Slepian's Discrete Prolate Spheroidal Wave Functions and produces estimates with low bias and high resolutlion even when the data length is short.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/ea5eb762-c7df-448c-af63-d8aa7ed24e98
- author
- Sandsten, Maria LU and Gänsler, Tomas
- organization
- publishing date
- 1993
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- host publication
- Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ
- pages
- 326 - 327
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 15th International Conference on IEEE Engineering in Medicine and Biology Society
- conference location
- San Diego, United States
- conference dates
- 1993-10-28 - 1993-10-31
- external identifiers
-
- scopus:0027842063
- ISBN
- 0-7803-1377-1
- DOI
- 10.1109/IEMBS.1993.978568
- language
- English
- LU publication?
- yes
- id
- ea5eb762-c7df-448c-af63-d8aa7ed24e98
- date added to LUP
- 2018-03-23 16:24:19
- date last changed
- 2021-01-03 05:23:30
@inproceedings{ea5eb762-c7df-448c-af63-d8aa7ed24e98, abstract = {{The spectral characters of the electroencephalogram activity (EEG) is of interest both in studies of the EEG and in estimation oI Evoked Potentials. Often parametric methods assume an underlying model like AR or ARMA [1]. To avoid the model assumption a non-parametric multiple-window meihod for spectral estimation is used in this paper. The method uses Slepian's Discrete Prolate Spheroidal Wave Functions and produces estimates with low bias and high resolutlion even when the data length is short.}}, author = {{Sandsten, Maria and Gänsler, Tomas}}, booktitle = {{Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ}}, isbn = {{0-7803-1377-1}}, language = {{eng}}, pages = {{326--327}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Spectral estimation with a non-parametric multiple-window method}}, url = {{http://dx.doi.org/10.1109/IEMBS.1993.978568}}, doi = {{10.1109/IEMBS.1993.978568}}, year = {{1993}}, }