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Optimal Multiple Window Time-Frequency Analysis of Locally Stationary Processes

Sandsten, Maria LU and Wahlberg, Patrik LU (2004) 12th European Signal Processing Conference EUSIPCO, 2004 In 12th European Signal Processing Conference, EUSIPCO 2004 p.1781-1784
Abstract
This paper investigates the multiple windows of the mean squared error optimal time-frequency kernel for estimation of the Wigner-Ville spectrum. The kernel is optimal for a certain locally stationary process where the covariance function is determined by two one-dimensional Gaussian functions. The multiple windows are obtained as the eigenvectors of the rotated time-lag estimation kernel. The spectrograms from the different windows are weighted with the eigenvalues and the resulting multiple window spectrogram is an estimate of the optimal smoothed Wigner-Ville spectrum.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
12th European Signal Processing Conference, EUSIPCO 2004
pages
1781 - 1784
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
12th European Signal Processing Conference EUSIPCO, 2004
external identifiers
  • Scopus:84979894088
ISBN
978-320000165-7
language
English
LU publication?
yes
id
a32d11cd-a20c-4a16-99d7-8acf20314ec3 (old id 627403)
alternative location
http://ieeexplore.ieee.org/document/7079735/
date added to LUP
2007-11-29 14:10:48
date last changed
2017-01-01 08:44:13
@inproceedings{a32d11cd-a20c-4a16-99d7-8acf20314ec3,
  abstract     = {This paper investigates the multiple windows of the mean squared error optimal time-frequency kernel for estimation of the Wigner-Ville spectrum. The kernel is optimal for a certain locally stationary process where the covariance function is determined by two one-dimensional Gaussian functions. The multiple windows are obtained as the eigenvectors of the rotated time-lag estimation kernel. The spectrograms from the different windows are weighted with the eigenvalues and the resulting multiple window spectrogram is an estimate of the optimal smoothed Wigner-Ville spectrum.},
  author       = {Sandsten, Maria and Wahlberg, Patrik},
  booktitle    = {12th European Signal Processing Conference, EUSIPCO 2004},
  isbn         = {978-320000165-7},
  language     = {eng},
  pages        = {1781--1784},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Optimal Multiple Window Time-Frequency Analysis of Locally Stationary Processes},
  year         = {2004},
}