Matched Gaussian Multitaper Spectrogram
(2013) 21st European Signal Processing Conference (EUSIPCO 2013)- 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:
https://lup.lub.lu.se/record/4175271
- author
- Sandsten, Maria LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- time-frequency, multitaper, multiple window, Hermite function, Gaussian, matched
- host publication
- [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)
- conference location
- Marrakech, Morocco
- conference dates
- 2013-09-09 - 2013-09-13
- external identifiers
-
- wos:000341754500106
- scopus:84901375943
- language
- English
- LU publication?
- yes
- id
- 1d7bd64d-1727-4085-853d-9ee1e13d9775 (old id 4175271)
- date added to LUP
- 2016-04-04 10:20:03
- date last changed
- 2022-01-29 20:09:52
@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]}}, keywords = {{time-frequency; multitaper; multiple window; Hermite function; Gaussian; matched}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Matched Gaussian Multitaper Spectrogram}}, year = {{2013}}, }