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The Scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions

Sandsten, Maria LU and Brynolfsson, Johan LU (2015) In IEEE Signal Processing Letters 22(1). p.100-104
Abstract
The reassignment technique is used to increase localization for signal components in the time-frequency representation. The technique gives perfect localization for infinite linear chirp-signals, impulses and constant frequency signals but not for short non-stationary signals. In this paper, a scaled reassignment is proposed, based on the spectrogram using a Gaussian window. The resulting reassignment gives perfect localization for a Gaussian function when the window length matches the function length. Based on the scaled reassignment, an algorithm that estimates the Gaussian function length is also proposed.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Gaussian, logon, reassignment, spectrogram, time-frequency
in
IEEE Signal Processing Letters
volume
22
issue
1
pages
100 - 104
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000341628800002
  • scopus:84906751276
ISSN
1070-9908
DOI
10.1109/LSP.2014.2350030
language
English
LU publication?
yes
id
cd61b319-5814-4fe1-97aa-1cbd1a23eb8b (old id 4709928)
date added to LUP
2016-04-01 14:50:05
date last changed
2022-04-22 05:30:29
@article{cd61b319-5814-4fe1-97aa-1cbd1a23eb8b,
  abstract     = {{The reassignment technique is used to increase localization for signal components in the time-frequency representation. The technique gives perfect localization for infinite linear chirp-signals, impulses and constant frequency signals but not for short non-stationary signals. In this paper, a scaled reassignment is proposed, based on the spectrogram using a Gaussian window. The resulting reassignment gives perfect localization for a Gaussian function when the window length matches the function length. Based on the scaled reassignment, an algorithm that estimates the Gaussian function length is also proposed.}},
  author       = {{Sandsten, Maria and Brynolfsson, Johan}},
  issn         = {{1070-9908}},
  keywords     = {{Gaussian; logon; reassignment; spectrogram; time-frequency}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{100--104}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Signal Processing Letters}},
  title        = {{The Scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions}},
  url          = {{http://dx.doi.org/10.1109/LSP.2014.2350030}},
  doi          = {{10.1109/LSP.2014.2350030}},
  volume       = {{22}},
  year         = {{2015}},
}