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The Matched Window Reassignment

Sandsten, Maria LU ; Brynolfsson, Johan LU and Reinhold, Isabella LU (2018) p.2340-2344
Abstract
In this paper we calculate reassigned spectrograms
using the envelope of an arbitrary signal as matched window. We
show that the matched window then give the perfectly localized
reassignment for any time-translated and frequency-modulated
transient signal with corresponding envelope. The general expressions of the corresponding scaled reassignment vectors are
derived and the matched window reassignment is evaluated
for time-frequency localization as well as for classification. The
results show that the accuracy in time- and frequency location
is high also when the signal envelope deviates from the matched
window and when the SNR is reasonable large. The classification
performance based on the matched... (More)
In this paper we calculate reassigned spectrograms
using the envelope of an arbitrary signal as matched window. We
show that the matched window then give the perfectly localized
reassignment for any time-translated and frequency-modulated
transient signal with corresponding envelope. The general expressions of the corresponding scaled reassignment vectors are
derived and the matched window reassignment is evaluated
for time-frequency localization as well as for classification. The
results show that the accuracy in time- and frequency location
is high also when the signal envelope deviates from the matched
window and when the SNR is reasonable large. The classification
performance based on the matched window reassignment and the
Rényi entropy is robust to signal envelope deviations as well as
to disturbing noise. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
26th European Signal Processing Conference, EUSIPCO 2018
pages
2340 - 2344
publisher
European Association for Signal Processing (EURASIP)
external identifiers
  • scopus:85059804483
ISBN
978-908279701-5
DOI
10.23919/EUSIPCO.2018.8553204
language
English
LU publication?
yes
id
c0fdf441-18fc-4ac5-b88a-a99ba7e58b80
date added to LUP
2018-09-26 08:30:57
date last changed
2022-04-25 17:21:56
@inproceedings{c0fdf441-18fc-4ac5-b88a-a99ba7e58b80,
  abstract     = {{In this paper we calculate reassigned spectrograms<br/>using the envelope of an arbitrary signal as matched window. We<br/>show that the matched window then give the perfectly localized<br/>reassignment for any time-translated and frequency-modulated<br/>transient signal with corresponding envelope. The general expressions of the corresponding scaled reassignment vectors are<br/>derived and the matched window reassignment is evaluated<br/>for time-frequency localization as well as for classification. The<br/>results show that the accuracy in time- and frequency location<br/>is high also when the signal envelope deviates from the matched<br/>window and when the SNR is reasonable large. The classification<br/>performance based on the matched window reassignment and the<br/>Rényi entropy is robust to signal envelope deviations as well as<br/>to disturbing noise.}},
  author       = {{Sandsten, Maria and Brynolfsson, Johan and Reinhold, Isabella}},
  booktitle    = {{26th European Signal Processing Conference, EUSIPCO 2018}},
  isbn         = {{978-908279701-5}},
  language     = {{eng}},
  pages        = {{2340--2344}},
  publisher    = {{European Association for Signal Processing (EURASIP)}},
  title        = {{The Matched Window Reassignment}},
  url          = {{http://dx.doi.org/10.23919/EUSIPCO.2018.8553204}},
  doi          = {{10.23919/EUSIPCO.2018.8553204}},
  year         = {{2018}},
}