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Evaluation of the optimal lengths and number of multiple windows for spectrogram estimation of SSVEP

Sandsten, Maria LU (2010) In Medical Engineering & Physics1994-01-01+01:00 32(4). p.372-383
Abstract
The purpose of this paper is to present the optimal number of

windows and window lengths using multiple window spectrogram for

estimation of non-stationary processes with shorter or longer

duration. Such processes could start in the EEG as a result of a

stimuli, e.g. steady-state visual evoked potentials (SSVEP). In many

applications the Welch method is used with standard set-ups for

window lengths and number of averaged spectra/spectrograms. This paper optimizes the

window lengths and number of windows of the Welch method and compare

the calculated mean squared error for this method with the optimal parameter choices of other more

recent, socalled, multiple... (More)
The purpose of this paper is to present the optimal number of

windows and window lengths using multiple window spectrogram for

estimation of non-stationary processes with shorter or longer

duration. Such processes could start in the EEG as a result of a

stimuli, e.g. steady-state visual evoked potentials (SSVEP). In many

applications the Welch method is used with standard set-ups for

window lengths and number of averaged spectra/spectrograms. This paper optimizes the

window lengths and number of windows of the Welch method and compare

the calculated mean squared error for this method with the optimal parameter choices of other more

recent, socalled, multiple window or multitaper methods. The results

could be useful in the choice of more optimal window functions for

spectrogram estimation in certain applications. Some examples of spectrogram estimation of

SSVEP are shown. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Welch method, WOSA, Multiple Window Spectrogram, Peak Matched Multiple Windows, Time-Frequency analysis, EEG, SSVEP, Steady state visual evoked potentials, Locally Stationary Processes, Hermite functions.
in
Medical Engineering & Physics1994-01-01+01:00
volume
32
issue
4
pages
372 - 383
publisher
Elsevier
external identifiers
  • wos:000277326400011
  • scopus:79952004496
ISSN
1873-4030
DOI
10.1016/j.medengphy.2010.01.009
language
English
LU publication?
yes
id
43c54349-9d9d-4a00-ae3a-8e68f428a186 (old id 1479088)
date added to LUP
2009-12-14 10:59:42
date last changed
2018-05-29 12:07:17
@article{43c54349-9d9d-4a00-ae3a-8e68f428a186,
  abstract     = {The purpose of this paper is to present the optimal number of<br/><br>
windows and window lengths using multiple window spectrogram for<br/><br>
estimation of non-stationary processes with shorter or longer<br/><br>
duration. Such processes could start in the EEG as a result of a<br/><br>
stimuli, e.g. steady-state visual evoked potentials (SSVEP). In many<br/><br>
applications the Welch method is used with standard set-ups for<br/><br>
window lengths and number of averaged spectra/spectrograms. This paper optimizes the<br/><br>
window lengths and number of windows of the Welch method and compare<br/><br>
the calculated mean squared error for this method with the optimal parameter choices of other more<br/><br>
recent, socalled, multiple window or multitaper methods. The results<br/><br>
could be useful in the choice of more optimal window functions for<br/><br>
spectrogram estimation in certain applications. Some examples of spectrogram estimation of<br/><br>
SSVEP are shown.},
  author       = {Sandsten, Maria},
  issn         = {1873-4030},
  keyword      = {Welch method,WOSA,Multiple Window Spectrogram,Peak Matched Multiple Windows,Time-Frequency analysis,EEG,SSVEP,Steady state visual evoked potentials,Locally Stationary Processes,Hermite functions.},
  language     = {eng},
  number       = {4},
  pages        = {372--383},
  publisher    = {Elsevier},
  series       = {Medical Engineering & Physics1994-01-01+01:00},
  title        = {Evaluation of the optimal lengths and number of multiple windows for spectrogram estimation of SSVEP},
  url          = {http://dx.doi.org/10.1016/j.medengphy.2010.01.009},
  volume       = {32},
  year         = {2010},
}