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Matched Gaussian Multitaper Spectrogram

Sandsten, Maria LU (2013) 21st European Signal Processing Conference (EUSIPCO 2013) In [Host publication title missing]
Abstract
A novel multitaper spectrogram estimator for Gaussian func-

tions is proposed. The multitapers are the Hermite functions

and a fixed number of few multitapers are used in the estimate.

The weighting factors of the different spectrogram functions

are optimized to give the approximative Wigner distribution

for the Gaussian function. The performance of the estimator

is investigated in terms of resolution and cross-term reduc-

tion in the time-frequency domain. Additionally, a simula-

tion example shows the robustness against white noise distur-

bances. The performance of the new estimator is compared to

the Wigner distribution, the usual spectrogram as... (More)
A novel multitaper spectrogram estimator for Gaussian func-

tions is proposed. The multitapers are the Hermite functions

and a fixed number of few multitapers are used in the estimate.

The weighting factors of the different spectrogram functions

are optimized to give the approximative Wigner distribution

for the Gaussian function. The performance of the estimator

is investigated in terms of resolution and cross-term reduc-

tion in the time-frequency domain. Additionally, a simula-

tion example shows the robustness against white noise distur-

bances. The performance of the new estimator is compared to

the Wigner distribution, the usual spectrogram as well as the

Choi-Williams and the Born-Jordan distributions. (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
keywords
time-frequency, multitaper, multiple window, Hermite function, Gaussian, matched
in
[Host publication title missing]
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
21st European Signal Processing Conference (EUSIPCO 2013)
external identifiers
  • WOS:000341754500106
  • Scopus:84901375943
language
English
LU publication?
yes
id
1d7bd64d-1727-4085-853d-9ee1e13d9775 (old id 4175271)
date added to LUP
2014-01-20 16:33:13
date last changed
2017-01-01 07:57:21
@inproceedings{1d7bd64d-1727-4085-853d-9ee1e13d9775,
  abstract     = {A novel multitaper spectrogram estimator for Gaussian func-<br/><br>
tions is proposed. The multitapers are the Hermite functions<br/><br>
and a fixed number of few multitapers are used in the estimate.<br/><br>
The weighting factors of the different spectrogram functions<br/><br>
are optimized to give the approximative Wigner distribution<br/><br>
for the Gaussian function. The performance of the estimator<br/><br>
is investigated in terms of resolution and cross-term reduc-<br/><br>
tion in the time-frequency domain. Additionally, a simula-<br/><br>
tion example shows the robustness against white noise distur-<br/><br>
bances. The performance of the new estimator is compared to<br/><br>
the Wigner distribution, the usual spectrogram as well as the<br/><br>
Choi-Williams and the Born-Jordan distributions.},
  author       = {Sandsten, Maria},
  booktitle    = {[Host publication title missing]},
  keyword      = {time-frequency,multitaper,multiple window,Hermite function,Gaussian,matched},
  language     = {eng},
  pages        = {5},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Matched Gaussian Multitaper Spectrogram},
  year         = {2013},
}