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Objective detection and time-frequency localization of components within transient signals

Reinhold, Isabella LU ; Sandsten, Maria LU and Starkhammar, Josefin LU (2018) In Journal of the Acoustical Society of America 143(4). p.2368-2378
Abstract

An automatic component detection method for overlapping transient pulses in multi-component signals is presented and evaluated. The recently proposed scaled reassignment technique is shown to have the best achievable resolution for closely located Gaussian shaped transient pulses, even in heavy disruptive noise. As a result, the method automatically detects and counts the number of transients, giving the center times and center frequencies of all components with considerable accuracy. The presented method shows great potential for applications in several acoustic research fields, where coinciding Gaussian shaped transients are analyzed. The performance is tested on measured data from a laboratory pulse-echo setup and from a dolphin... (More)

An automatic component detection method for overlapping transient pulses in multi-component signals is presented and evaluated. The recently proposed scaled reassignment technique is shown to have the best achievable resolution for closely located Gaussian shaped transient pulses, even in heavy disruptive noise. As a result, the method automatically detects and counts the number of transients, giving the center times and center frequencies of all components with considerable accuracy. The presented method shows great potential for applications in several acoustic research fields, where coinciding Gaussian shaped transients are analyzed. The performance is tested on measured data from a laboratory pulse-echo setup and from a dolphin echolocation signal measured simultaneously at two different locations in the echolocation beam. Since the method requires little user input, it should be easily employed in a variety of research projects.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of the Acoustical Society of America
volume
143
issue
4
pages
11 pages
publisher
American Institute of Physics (AIP)
external identifiers
  • pmid:29716299
  • scopus:85046038356
ISSN
0001-4966
DOI
10.1121/1.5032215
language
English
LU publication?
yes
id
4dd07061-6e20-4e56-b2b6-2a4973a8ca0d
date added to LUP
2018-05-14 15:24:07
date last changed
2024-01-14 20:03:57
@article{4dd07061-6e20-4e56-b2b6-2a4973a8ca0d,
  abstract     = {{<p>An automatic component detection method for overlapping transient pulses in multi-component signals is presented and evaluated. The recently proposed scaled reassignment technique is shown to have the best achievable resolution for closely located Gaussian shaped transient pulses, even in heavy disruptive noise. As a result, the method automatically detects and counts the number of transients, giving the center times and center frequencies of all components with considerable accuracy. The presented method shows great potential for applications in several acoustic research fields, where coinciding Gaussian shaped transients are analyzed. The performance is tested on measured data from a laboratory pulse-echo setup and from a dolphin echolocation signal measured simultaneously at two different locations in the echolocation beam. Since the method requires little user input, it should be easily employed in a variety of research projects.</p>}},
  author       = {{Reinhold, Isabella and Sandsten, Maria and Starkhammar, Josefin}},
  issn         = {{0001-4966}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{4}},
  pages        = {{2368--2378}},
  publisher    = {{American Institute of Physics (AIP)}},
  series       = {{Journal of the Acoustical Society of America}},
  title        = {{Objective detection and time-frequency localization of components within transient signals}},
  url          = {{http://dx.doi.org/10.1121/1.5032215}},
  doi          = {{10.1121/1.5032215}},
  volume       = {{143}},
  year         = {{2018}},
}