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Multitaper Wigner and Choi-Williams distributions with pre-determined doppler-lag bandwidth and sidelobe suppression

Sandsten, Maria LU (2011) In Signal Processing 91(6). p.1457-1465
Abstract
In this paper, a penalty function is designed and used in the computation of multitapers which correspond to the Wigner and Choi-Williams distributions. The resulting multitaper spectrogram will approximately fulfill the concentration of the distribution but will additionally suppress the cross-terms outside a predetermined Doppler-lag bandwidth. The specific region as well as the amount of cross-term suppression is determined by parameters of the penalty function. The proposed method uses a limited number of multitapers which results in computationally efficient calculations. The time-frequency concentration and resolution of the proposed method and the original distribution are compared and the performance for signals disturbed by white... (More)
In this paper, a penalty function is designed and used in the computation of multitapers which correspond to the Wigner and Choi-Williams distributions. The resulting multitaper spectrogram will approximately fulfill the concentration of the distribution but will additionally suppress the cross-terms outside a predetermined Doppler-lag bandwidth. The specific region as well as the amount of cross-term suppression is determined by parameters of the penalty function. The proposed method uses a limited number of multitapers which results in computationally efficient calculations. The time-frequency concentration and resolution of the proposed method and the original distribution are compared and the performance for signals disturbed by white noise is also evaluated. Estimation of event related potentials disturbed by EEG exemplify the use of the method. (C) 2010 Elsevier B.V. All rights reserved. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cross-term, Time-frequency distributions, Multiple window, Spectrogram, Penalty function, Event related potentials, EEG
in
Signal Processing
volume
91
issue
6
pages
1457 - 1465
publisher
Elsevier
external identifiers
  • wos:000288877800010
  • scopus:79952007771
ISSN
0165-1684
DOI
10.1016/j.sigpro.2010.10.010
language
English
LU publication?
yes
id
8dfb565b-5c1c-4d27-bf9a-292e77b18d51 (old id 1761236)
date added to LUP
2016-04-01 12:56:14
date last changed
2022-01-27 08:23:50
@article{8dfb565b-5c1c-4d27-bf9a-292e77b18d51,
  abstract     = {{In this paper, a penalty function is designed and used in the computation of multitapers which correspond to the Wigner and Choi-Williams distributions. The resulting multitaper spectrogram will approximately fulfill the concentration of the distribution but will additionally suppress the cross-terms outside a predetermined Doppler-lag bandwidth. The specific region as well as the amount of cross-term suppression is determined by parameters of the penalty function. The proposed method uses a limited number of multitapers which results in computationally efficient calculations. The time-frequency concentration and resolution of the proposed method and the original distribution are compared and the performance for signals disturbed by white noise is also evaluated. Estimation of event related potentials disturbed by EEG exemplify the use of the method. (C) 2010 Elsevier B.V. All rights reserved.}},
  author       = {{Sandsten, Maria}},
  issn         = {{0165-1684}},
  keywords     = {{Cross-term; Time-frequency distributions; Multiple window; Spectrogram; Penalty function; Event related potentials; EEG}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{1457--1465}},
  publisher    = {{Elsevier}},
  series       = {{Signal Processing}},
  title        = {{Multitaper Wigner and Choi-Williams distributions with pre-determined doppler-lag bandwidth and sidelobe suppression}},
  url          = {{http://dx.doi.org/10.1016/j.sigpro.2010.10.010}},
  doi          = {{10.1016/j.sigpro.2010.10.010}},
  volume       = {{91}},
  year         = {{2011}},
}