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Multitaper Wigner distribution with pre-determined doppler-lag bandwdith and sidelobe suppression

Sandsten, Maria LU (2010) 18th European Signal Processing Conference (EUSIPCO-2010) In European Signal Processing Conference 2010. p.1737-1741
Abstract
Multi taper spectrogram decomposition of the time-lag kernel

of a time-frequency distribution might result in computationally

efficient calculations if the number of multi tapers

to be considered in the spectrogram are small. In this paper,

penalty functions are designed and used in the computation

of multi tapers corresponding to the Wigner distribution

time-lag kernel. The resulting multi taper spectrogram will

approximately fulfill the concentration of the Wigner distribution

but will also suppress the usual Wigner distribution

cross-terms outside a predetermined doppler-lag bandwidth.

The level of the cross-term suppression is determined by... (More)
Multi taper spectrogram decomposition of the time-lag kernel

of a time-frequency distribution might result in computationally

efficient calculations if the number of multi tapers

to be considered in the spectrogram are small. In this paper,

penalty functions are designed and used in the computation

of multi tapers corresponding to the Wigner distribution

time-lag kernel. The resulting multi taper spectrogram will

approximately fulfill the concentration of the Wigner distribution

but will also suppress the usual Wigner distribution

cross-terms outside a predetermined doppler-lag bandwidth.

The level of the cross-term suppression is determined by a

parameter of the penalty function. The proposedmethod uses

a limited number of multi tapers which is determined by the

decided bandwidth. The time-frequency concentration of the

proposed method is compared to other well-known distributions.

The performance for white noise disturbances are also

evaluated. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
European Signal Processing Conference
volume
2010
pages
5 pages
publisher
European Association for Signal Processing (EURASIP)
conference name
18th European Signal Processing Conference (EUSIPCO-2010)
ISSN
2219-5491
language
English
LU publication?
yes
id
8f48f2e3-984a-45dc-92ec-1f86c70f2115 (old id 1761238)
alternative location
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291425.pdf
date added to LUP
2011-12-22 19:53:39
date last changed
2018-05-29 10:00:01
@inproceedings{8f48f2e3-984a-45dc-92ec-1f86c70f2115,
  abstract     = {Multi taper spectrogram decomposition of the time-lag kernel<br/><br>
of a time-frequency distribution might result in computationally<br/><br>
efficient calculations if the number of multi tapers<br/><br>
to be considered in the spectrogram are small. In this paper,<br/><br>
penalty functions are designed and used in the computation<br/><br>
of multi tapers corresponding to the Wigner distribution<br/><br>
time-lag kernel. The resulting multi taper spectrogram will<br/><br>
approximately fulfill the concentration of the Wigner distribution<br/><br>
but will also suppress the usual Wigner distribution<br/><br>
cross-terms outside a predetermined doppler-lag bandwidth.<br/><br>
The level of the cross-term suppression is determined by a<br/><br>
parameter of the penalty function. The proposedmethod uses<br/><br>
a limited number of multi tapers which is determined by the<br/><br>
decided bandwidth. The time-frequency concentration of the<br/><br>
proposed method is compared to other well-known distributions.<br/><br>
The performance for white noise disturbances are also<br/><br>
evaluated.},
  author       = {Sandsten, Maria},
  booktitle    = {European Signal Processing Conference},
  issn         = {2219-5491},
  language     = {eng},
  pages        = {1737--1741},
  publisher    = {European Association for Signal Processing (EURASIP)},
  title        = {Multitaper Wigner distribution with pre-determined doppler-lag bandwdith and sidelobe suppression},
  volume       = {2010},
  year         = {2010},
}